{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "9602657f",
   "metadata": {},
   "source": [
    "<a href=\"https://colab.research.google.com/github/uptrain-ai/uptrain/blob/main/examples/checks/context_awareness/context_utlization.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f6539807-d2be-47b6-a39e-aaacb1e6e0bb",
   "metadata": {},
   "source": [
    "<h1 align=\"center\">\n",
    "  <a href=\"https://uptrain.ai\">\n",
    "    <img width=\"300\" src=\"https://user-images.githubusercontent.com/108270398/214240695-4f958b76-c993-4ddd-8de6-8668f4d0da84.png\" alt=\"uptrain\">\n",
    "  </a>\n",
    "</h1>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c2403e87-604e-44c6-8d9e-6c5806bc4cd7",
   "metadata": {},
   "source": [
    "<h1 style=\"text-align: center;\">Context Reranking</h1>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2ef54d59-295e-4f15-a35f-33f4e86ecdd2",
   "metadata": {},
   "source": [
    "**What is Context Reranking?**: Context Reranking reflects the efficiency of the reranking process applied to the original context in generating the new renaked context used to answer a given question. This operator assess the degree to which the reranked context enhances the relevance, coherence, and informativeness with respect to the provided question.\n",
    "\n",
    "**Data schema**: The data schema required for this evaluation is as follows:\n",
    "\n",
    "| Column Name | Description                     |\n",
    "| ----------- | ------------------------------- |\n",
    "| question    | The question asked by the user  |\n",
    "| context | Additional information provided that can be used to answer the question |\n",
    "| reranked_context | The context generated from the original context using the reranking algorithm |\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "76008cf6-dbd3-44bc-8556-86278868e746",
   "metadata": {},
   "source": [
    " If you face any difficulties, need some help with using UpTrain or want to brainstorm on custom evaluations for your use-case, [speak to the maintainers of UpTrain here](https://calendly.com/uptrain-sourabh/30min)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0b393030",
   "metadata": {},
   "source": [
    "## Step 1: Install UpTrain by running 'pip install uptrain'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "90f4ff7d-10b9-482e-aa92-85c64ffc4057",
   "metadata": {},
   "outputs": [],
   "source": [
    "# !pip install uptrain"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5b8c8bf9",
   "metadata": {},
   "source": [
    "## Step 2: Let's define our dataset to run evaluations upon"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "a540fc5a",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = [\n",
    "    {\n",
    "        \"question\": \"What are the main causes of climate change?\",\n",
    "        \"context\": \" 1. The main causes of climate change include greenhouse gas emissions from human activities such as burning fossil fuels, deforestation, and industrial processes. \\n 2. Climate change is primarily driven by human-induced factors, including the release of carbon dioxide and other greenhouse gases into the atmosphere. \\n 3. Human activities such as the burning of fossil fuels, agricultural practices, and land-use changes contribute significantly to climate change by increasing the concentration of greenhouse gases in the atmosphere. \\n 4. Other factors that contribute to climate change include methane emissions from livestock and rice paddies, as well as nitrous oxide emissions from agricultural fertilizers. \\n 5. Changes in land use, such as urbanization and deforestation, also play a role in altering local climates and contributing to global climate change.\",\n",
    "        \"reranked_context\": \" 1. Climate change is primarily driven by human-induced factors, including the release of carbon dioxide and other greenhouse gases into the atmosphere. \\n 2. Changes in land use, such as urbanization and deforestation, also play a role in altering local climates and contributing to global climate change. \\n 3. The main causes of climate change include greenhouse gas emissions from human activities such as burning fossil fuels, deforestation, and industrial processes. \\n 4. Human activities such as the burning of fossil fuels, agricultural practices, and land-use changes contribute significantly to climate change by increasing the concentration of greenhouse gases in the atmosphere. \\n 5. Other factors that contribute to climate change include methane emissions from livestock and rice paddies, as well as nitrous oxide emissions from agricultural fertilizers. \\n\",\n",
    "    },\n",
    "    {\n",
    "        \"question\": \"How to make red sauce pasta?\",\n",
    "        \"context\": \"Step 1: Heat oil in a pan over medium flame and add minced garlic along with chopped red chilli and red chilli flakes. Stir and saute for 2 minutes. Take another pan, pour the water and bring it to a boil. Then, add pasta to the boiling water along with some salt and 1/2 tbsp oil. Cook the pasta for a few minutes. When it is cooked through, drain the extra water and transfer the pasta to another bowl. \\n Step 2: Now, heat the olive oil and add the peeled (or pureed) tomatoes, basil and parsley to the pan. Mix all the ingredients well and let it simmer for 10 minutes until the sauce starts to thicken. When the sauce starts gaining consistency, put off the burner and add salt and black pepper powder to the sauce. Keep the sauce warm. Add the pasta over the warm sauce and toss carefully so that each piece is coated with the sauce. \\n Step 3: Cook for 2-3 minutes more and then serve the Red Sauce Pasta immediately. To make it more aromatic, you can dry roast a few basil leaves, crush them with some chilli flakes, oregano and add it to the dish. This herb fusion will make your pasta even more delectable. Serve it with garlic bread and relish this delicious pasta.\",\n",
    "        \"reranked_context\": \"Step 1 : Cook for 2-3 minutes more and then serve the Red Sauce Pasta immediately. To make it more aromatic, you can dry roast a few basil leaves, crush them with some chilli flakes, oregano and add it to the dish. This herb fusion will make your pasta even more delectable. Serve it with garlic bread and relish this delicious pasta. \\n Step 2: Heat oil in a pan over medium flame and add minced garlic along with chopped red chilli and red chilli flakes. Stir and saute for 2 minutes. Take another pan, pour the water and bring it to a boil. Then, add pasta to the boiling water along with some salt and 1/2 tbsp oil. Cook the pasta for a few minutes. When it is cooked through, drain the extra water and transfer the pasta to another bowl. \\n Step 3: Now, heat the olive oil and add the peeled (or pureed) tomatoes, basil and parsley to the pan. Mix all the ingredients well and let it simmer for 10 minutes until the sauce starts to thicken. When the sauce starts gaining consistency, put off the burner and add salt and black pepper powder to the sauce. Keep the sauce warm. Add the pasta over the warm sauce and toss carefully so that each piece is coated with the sauce.\",\n",
    "    }\n",
    "]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5d1e0f0d",
   "metadata": {},
   "source": [
    "## Step 3: Running evaluations using UpTrain's Open-Source Software (OSS)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "d15fb087-3ed2-442f-9b23-35c7dbc6128e",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/shreyanshjain/anaconda3/lib/python3.11/site-packages/lazy_loader/__init__.py:185: RuntimeWarning: subpackages can technically be lazily loaded, but it causes the package to be eagerly loaded even if it is already lazily loaded.So, you probably shouldn't use subpackages with this lazy feature.\n",
      "  warnings.warn(msg, RuntimeWarning)\n",
      "\u001b[32m2024-02-28 14:03:34.112\u001b[0m | \u001b[1mINFO    \u001b[0m | \u001b[36muptrain.framework.evalllm\u001b[0m:\u001b[36mevaluate_on_server\u001b[0m:\u001b[36m216\u001b[0m - \u001b[1mSending evaluation request for rows 0 to <50 to the Uptrain\u001b[0m\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[\n",
      "   {\n",
      "      \"question\": \"What are the main causes of climate change?\",\n",
      "      \"context\": \" 1. The main causes of climate change include greenhouse gas emissions from human activities such as burning fossil fuels, deforestation, and industrial processes. \\n 2. Climate change is primarily driven by human-induced factors, including the release of carbon dioxide and other greenhouse gases into the atmosphere. \\n 3. Human activities such as the burning of fossil fuels, agricultural practices, and land-use changes contribute significantly to climate change by increasing the concentration of greenhouse gases in the atmosphere. \\n 4. Other factors that contribute to climate change include methane emissions from livestock and rice paddies, as well as nitrous oxide emissions from agricultural fertilizers. \\n 5. Changes in land use, such as urbanization and deforestation, also play a role in altering local climates and contributing to global climate change.\",\n",
      "      \"reranked_context\": \" 1. Climate change is primarily driven by human-induced factors, including the release of carbon dioxide and other greenhouse gases into the atmosphere. \\n 2. Changes in land use, such as urbanization and deforestation, also play a role in altering local climates and contributing to global climate change. \\n 3. The main causes of climate change include greenhouse gas emissions from human activities such as burning fossil fuels, deforestation, and industrial processes. \\n 4. Human activities such as the burning of fossil fuels, agricultural practices, and land-use changes contribute significantly to climate change by increasing the concentration of greenhouse gases in the atmosphere. \\n 5. Other factors that contribute to climate change include methane emissions from livestock and rice paddies, as well as nitrous oxide emissions from agricultural fertilizers. \\n\",\n",
      "      \"score_context_reranking\": 1.0,\n",
      "      \"explanation_context_reranking\": \"Step-by-step reasoning:\\n\\n1. Review the original context and the reranked context in relation to the given question \\\"What are the main causes of climate change?\\\"\\n2. Identify the main causes of climate change mentioned in the original context and the reranked context.\\n3. Assess the relevance, coherence, and informativeness of the reranked context with respect to the provided question.\\n\\nUpon reviewing the original and reranked contexts, it is evident that the main causes of climate change are consistently mentioned in both contexts. The reranked context places more emphasis on human-induced factors and changes in land use, which are directly related to the main causes of climate change. The reranked context enhances the relevance, coherence, and informativeness with respect to the provided question.\\n\\n[Choice]: (A) The reranking of the original context is highly effective in generating the reranked context for the given question.\"\n",
      "   },\n",
      "   {\n",
      "      \"question\": \"How to make red sauce pasta?\",\n",
      "      \"context\": \"Step 1: Heat oil in a pan over medium flame and add minced garlic along with chopped red chilli and red chilli flakes. Stir and saute for 2 minutes. Take another pan, pour the water and bring it to a boil. Then, add pasta to the boiling water along with some salt and 1/2 tbsp oil. Cook the pasta for a few minutes. When it is cooked through, drain the extra water and transfer the pasta to another bowl. \\n Step 2: Now, heat the olive oil and add the peeled (or pureed) tomatoes, basil and parsley to the pan. Mix all the ingredients well and let it simmer for 10 minutes until the sauce starts to thicken. When the sauce starts gaining consistency, put off the burner and add salt and black pepper powder to the sauce. Keep the sauce warm. Add the pasta over the warm sauce and toss carefully so that each piece is coated with the sauce. \\n Step 3: Cook for 2-3 minutes more and then serve the Red Sauce Pasta immediately. To make it more aromatic, you can dry roast a few basil leaves, crush them with some chilli flakes, oregano and add it to the dish. This herb fusion will make your pasta even more delectable. Serve it with garlic bread and relish this delicious pasta.\",\n",
      "      \"reranked_context\": \"Step 1 : Cook for 2-3 minutes more and then serve the Red Sauce Pasta immediately. To make it more aromatic, you can dry roast a few basil leaves, crush them with some chilli flakes, oregano and add it to the dish. This herb fusion will make your pasta even more delectable. Serve it with garlic bread and relish this delicious pasta. \\n Step 2: Heat oil in a pan over medium flame and add minced garlic along with chopped red chilli and red chilli flakes. Stir and saute for 2 minutes. Take another pan, pour the water and bring it to a boil. Then, add pasta to the boiling water along with some salt and 1/2 tbsp oil. Cook the pasta for a few minutes. When it is cooked through, drain the extra water and transfer the pasta to another bowl. \\n Step 3: Now, heat the olive oil and add the peeled (or pureed) tomatoes, basil and parsley to the pan. Mix all the ingredients well and let it simmer for 10 minutes until the sauce starts to thicken. When the sauce starts gaining consistency, put off the burner and add salt and black pepper powder to the sauce. Keep the sauce warm. Add the pasta over the warm sauce and toss carefully so that each piece is coated with the sauce.\",\n",
      "      \"score_context_reranking\": 0.0,\n",
      "      \"explanation_context_reranking\": \"Step 1: Review the original context and the reranked context to identify any changes made in the reranking process. \\nOriginal context:\\n- Step 1 involves heating oil, adding minced garlic, red chili, and red chili flakes, and cooking the pasta.\\n- Step 2 involves heating olive oil, adding tomatoes, basil, and parsley to make the sauce, and then adding the cooked pasta to the sauce.\\n- Step 3 involves adding additional seasoning and serving the pasta.\\n\\nReranked context:\\n- Step 1 involves serving the pasta and adding aromatic herbs for flavor.\\n- Step 2 involves heating oil, cooking the pasta, and preparing the sauce.\\n- Step 3 is omitted in the reranked context.\\n\\nStep 2: Evaluate the reranked context in relation to the given question \\\"How to make red sauce pasta?\\\"\\n- The reranked context does not effectively address the question as it rearranges the steps and omits important details related to making red sauce pasta.\\n- The reranked context fails to provide coherent and informative instructions on making red sauce pasta.\\n\\n[Choice]: (C) The reranking of the original context is not very effective in generating the reranked context for the given question.\"\n",
      "   }\n",
      "]\n"
     ]
    }
   ],
   "source": [
    "from uptrain import EvalLLM, Evals\n",
    "import json\n",
    "\n",
    "OPENAI_API_KEY = \"sk-********************\"  # Insert your OpenAI key here\n",
    "\n",
    "eval_llm = EvalLLM(openai_api_key=OPENAI_API_KEY)\n",
    "\n",
    "res = eval_llm.evaluate(\n",
    "    data = data,\n",
    "    checks = [Evals.CONTEXT_RERANKING]\n",
    ")\n",
    "\n",
    "print(json.dumps(res,indent=3))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "def722da",
   "metadata": {},
   "source": [
    "## Step 4: Let's look at some of the results "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c15fbcf7",
   "metadata": {},
   "source": [
    "### Sample with Good Reranking"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "26536630",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{\n",
      "   \"question\": \"What are the main causes of climate change?\",\n",
      "   \"context\": \" 1. The main causes of climate change include greenhouse gas emissions from human activities such as burning fossil fuels, deforestation, and industrial processes. \\n 2. Climate change is primarily driven by human-induced factors, including the release of carbon dioxide and other greenhouse gases into the atmosphere. \\n 3. Human activities such as the burning of fossil fuels, agricultural practices, and land-use changes contribute significantly to climate change by increasing the concentration of greenhouse gases in the atmosphere. \\n 4. Other factors that contribute to climate change include methane emissions from livestock and rice paddies, as well as nitrous oxide emissions from agricultural fertilizers. \\n 5. Changes in land use, such as urbanization and deforestation, also play a role in altering local climates and contributing to global climate change.\",\n",
      "   \"reranked_context\": \" 1. Climate change is primarily driven by human-induced factors, including the release of carbon dioxide and other greenhouse gases into the atmosphere. \\n 2. Changes in land use, such as urbanization and deforestation, also play a role in altering local climates and contributing to global climate change. \\n 3. The main causes of climate change include greenhouse gas emissions from human activities such as burning fossil fuels, deforestation, and industrial processes. \\n 4. Human activities such as the burning of fossil fuels, agricultural practices, and land-use changes contribute significantly to climate change by increasing the concentration of greenhouse gases in the atmosphere. \\n 5. Other factors that contribute to climate change include methane emissions from livestock and rice paddies, as well as nitrous oxide emissions from agricultural fertilizers. \\n\",\n",
      "   \"score_context_reranking\": 1.0,\n",
      "   \"explanation_context_reranking\": \"Step-by-step reasoning:\\n\\n1. Review the original context and the reranked context in relation to the given question \\\"What are the main causes of climate change?\\\"\\n2. Identify the main causes of climate change mentioned in the original context and the reranked context.\\n3. Assess the relevance, coherence, and informativeness of the reranked context with respect to the provided question.\\n\\nUpon reviewing the original and reranked contexts, it is evident that the main causes of climate change are consistently mentioned in both contexts. The reranked context places more emphasis on human-induced factors and changes in land use, which are directly related to the main causes of climate change. The reranked context enhances the relevance, coherence, and informativeness with respect to the provided question.\\n\\n[Choice]: (A) The reranking of the original context is highly effective in generating the reranked context for the given question.\"\n",
      "}\n"
     ]
    }
   ],
   "source": [
    "print(json.dumps(res[0],indent=3))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2227a277",
   "metadata": {},
   "source": [
    "### Sample without Bad Reranking"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "b24f8328",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{\n",
      "   \"question\": \"How to make red sauce pasta?\",\n",
      "   \"context\": \"Step 1: Heat oil in a pan over medium flame and add minced garlic along with chopped red chilli and red chilli flakes. Stir and saute for 2 minutes. Take another pan, pour the water and bring it to a boil. Then, add pasta to the boiling water along with some salt and 1/2 tbsp oil. Cook the pasta for a few minutes. When it is cooked through, drain the extra water and transfer the pasta to another bowl. \\n Step 2: Now, heat the olive oil and add the peeled (or pureed) tomatoes, basil and parsley to the pan. Mix all the ingredients well and let it simmer for 10 minutes until the sauce starts to thicken. When the sauce starts gaining consistency, put off the burner and add salt and black pepper powder to the sauce. Keep the sauce warm. Add the pasta over the warm sauce and toss carefully so that each piece is coated with the sauce. \\n Step 3: Cook for 2-3 minutes more and then serve the Red Sauce Pasta immediately. To make it more aromatic, you can dry roast a few basil leaves, crush them with some chilli flakes, oregano and add it to the dish. This herb fusion will make your pasta even more delectable. Serve it with garlic bread and relish this delicious pasta.\",\n",
      "   \"reranked_context\": \"Step 1 : Cook for 2-3 minutes more and then serve the Red Sauce Pasta immediately. To make it more aromatic, you can dry roast a few basil leaves, crush them with some chilli flakes, oregano and add it to the dish. This herb fusion will make your pasta even more delectable. Serve it with garlic bread and relish this delicious pasta. \\n Step 2: Heat oil in a pan over medium flame and add minced garlic along with chopped red chilli and red chilli flakes. Stir and saute for 2 minutes. Take another pan, pour the water and bring it to a boil. Then, add pasta to the boiling water along with some salt and 1/2 tbsp oil. Cook the pasta for a few minutes. When it is cooked through, drain the extra water and transfer the pasta to another bowl. \\n Step 3: Now, heat the olive oil and add the peeled (or pureed) tomatoes, basil and parsley to the pan. Mix all the ingredients well and let it simmer for 10 minutes until the sauce starts to thicken. When the sauce starts gaining consistency, put off the burner and add salt and black pepper powder to the sauce. Keep the sauce warm. Add the pasta over the warm sauce and toss carefully so that each piece is coated with the sauce.\",\n",
      "   \"score_context_reranking\": 0.0,\n",
      "   \"explanation_context_reranking\": \"Step 1: Review the original context and the reranked context to identify any changes made in the reranking process. \\nOriginal context:\\n- Step 1 involves heating oil, adding minced garlic, red chili, and red chili flakes, and cooking the pasta.\\n- Step 2 involves heating olive oil, adding tomatoes, basil, and parsley to make the sauce, and then adding the cooked pasta to the sauce.\\n- Step 3 involves adding additional seasoning and serving the pasta.\\n\\nReranked context:\\n- Step 1 involves serving the pasta and adding aromatic herbs for flavor.\\n- Step 2 involves heating oil, cooking the pasta, and preparing the sauce.\\n- Step 3 is omitted in the reranked context.\\n\\nStep 2: Evaluate the reranked context in relation to the given question \\\"How to make red sauce pasta?\\\"\\n- The reranked context does not effectively address the question as it rearranges the steps and omits important details related to making red sauce pasta.\\n- The reranked context fails to provide coherent and informative instructions on making red sauce pasta.\\n\\n[Choice]: (C) The reranking of the original context is not very effective in generating the reranked context for the given question.\"\n",
      "}\n"
     ]
    }
   ],
   "source": [
    "print(json.dumps(res[1],indent=3))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "169b9754",
   "metadata": {},
   "source": [
    "## [Optional] Step 5: UpTrain Managed Service and Dashboards"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f80e3778",
   "metadata": {},
   "source": [
    "You can create a free UpTrain account [here](https://uptrain.ai/) and get free trial credits. If you want more trial credits, [book a call with the maintainers of UpTrain here](https://calendly.com/uptrain-sourabh/30min)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7a751c19",
   "metadata": {},
   "source": [
    "UpTrain Managed service provides:\n",
    "1. Dashboards with advanced drill-down and filtering options\n",
    "2. Insights and common topics among failing cases\n",
    "3. Observability and real-time monitoring of production data\n",
    "4. Regression testing via seamless integration with your CI/CD pipelines"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "ed44a338",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[32m2024-02-28 13:56:03.778\u001b[0m | \u001b[1mINFO    \u001b[0m | \u001b[36muptrain.framework.remote\u001b[0m:\u001b[36mlog_and_evaluate\u001b[0m:\u001b[36m669\u001b[0m - \u001b[1mSending evaluation request for rows 0 to <50 to the Uptrain server\u001b[0m\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[\n",
      "   {\n",
      "      \"question\": \"What are the main causes of climate change?\",\n",
      "      \"context\": \" 1. The main causes of climate change include greenhouse gas emissions from human activities such as burning fossil fuels, deforestation, and industrial processes. \\n 2. Climate change is primarily driven by human-induced factors, including the release of carbon dioxide and other greenhouse gases into the atmosphere. \\n 3. Human activities such as the burning of fossil fuels, agricultural practices, and land-use changes contribute significantly to climate change by increasing the concentration of greenhouse gases in the atmosphere. \\n 4. Other factors that contribute to climate change include methane emissions from livestock and rice paddies, as well as nitrous oxide emissions from agricultural fertilizers. \\n 5. Changes in land use, such as urbanization and deforestation, also play a role in altering local climates and contributing to global climate change.\",\n",
      "      \"reranked_context\": \" 1. Climate change is primarily driven by human-induced factors, including the release of carbon dioxide and other greenhouse gases into the atmosphere. \\n 2. Changes in land use, such as urbanization and deforestation, also play a role in altering local climates and contributing to global climate change. \\n 3. The main causes of climate change include greenhouse gas emissions from human activities such as burning fossil fuels, deforestation, and industrial processes. \\n 4. Human activities such as the burning of fossil fuels, agricultural practices, and land-use changes contribute significantly to climate change by increasing the concentration of greenhouse gases in the atmosphere. \\n 5. Other factors that contribute to climate change include methane emissions from livestock and rice paddies, as well as nitrous oxide emissions from agricultural fertilizers. \\n\",\n",
      "      \"score_context_reranking\": 1.0,\n",
      "      \"explanation_context_reranking\": \"Step-by-step reasoning:\\n\\n1. Review the original context and the reranked context to identify any changes in the order or emphasis of the information provided.\\n2. Compare the information in both contexts to the given question \\\"What are the main causes of climate change?\\\" to assess the relevance, coherence, and informativeness of the reranked context.\\n\\nUpon reviewing the original and reranked contexts, it is evident that the reranking algorithm has effectively reorganized the information to prioritize the main causes of climate change, such as greenhouse gas emissions and human-induced factors. The reranked context enhances the relevance, coherence, and informativeness with respect to the provided question.\\n\\n[Choice]: (A) The reranking of the original context is highly effective in generating the reranked context for the given question.\"\n",
      "   },\n",
      "   {\n",
      "      \"question\": \"How to make red sauce pasta?\",\n",
      "      \"context\": \"Step 1: Heat oil in a pan over medium flame and add minced garlic along with chopped red chilli and red chilli flakes. Stir and saute for 2 minutes. Take another pan, pour the water and bring it to a boil. Then, add pasta to the boiling water along with some salt and 1/2 tbsp oil. Cook the pasta for a few minutes. When it is cooked through, drain the extra water and transfer the pasta to another bowl. \\n Step 2: Now, heat the olive oil and add the peeled (or pureed) tomatoes, basil and parsley to the pan. Mix all the ingredients well and let it simmer for 10 minutes until the sauce starts to thicken. When the sauce starts gaining consistency, put off the burner and add salt and black pepper powder to the sauce. Keep the sauce warm. Add the pasta over the warm sauce and toss carefully so that each piece is coated with the sauce. \\n Step 3: Cook for 2-3 minutes more and then serve the Red Sauce Pasta immediately. To make it more aromatic, you can dry roast a few basil leaves, crush them with some chilli flakes, oregano and add it to the dish. This herb fusion will make your pasta even more delectable. Serve it with garlic bread and relish this delicious pasta.\",\n",
      "      \"reranked_context\": \"Step 1 : Cook for 2-3 minutes more and then serve the Red Sauce Pasta immediately. To make it more aromatic, you can dry roast a few basil leaves, crush them with some chilli flakes, oregano and add it to the dish. This herb fusion will make your pasta even more delectable. Serve it with garlic bread and relish this delicious pasta. \\n Step 2: Heat oil in a pan over medium flame and add minced garlic along with chopped red chilli and red chilli flakes. Stir and saute for 2 minutes. Take another pan, pour the water and bring it to a boil. Then, add pasta to the boiling water along with some salt and 1/2 tbsp oil. Cook the pasta for a few minutes. When it is cooked through, drain the extra water and transfer the pasta to another bowl. \\n Step 3: Now, heat the olive oil and add the peeled (or pureed) tomatoes, basil and parsley to the pan. Mix all the ingredients well and let it simmer for 10 minutes until the sauce starts to thicken. When the sauce starts gaining consistency, put off the burner and add salt and black pepper powder to the sauce. Keep the sauce warm. Add the pasta over the warm sauce and toss carefully so that each piece is coated with the sauce.\",\n",
      "      \"score_context_reranking\": 0.0,\n",
      "      \"explanation_context_reranking\": \"Step 1: Identify the given question - \\\"How to make red sauce pasta?\\\"\\nStep 2: Examine the original context - The original context provides a detailed step-by-step guide on making red sauce pasta, including the process of making the sauce and cooking the pasta.\\nStep 3: Compare the original context with the reranked context - The reranked context seems to have reordered the steps, placing the serving instructions first and then the cooking instructions for the sauce and pasta.\\nStep 4: Assess the relevance, coherence, and informativeness - The reranked context does not enhance the relevance, coherence, or informativeness with respect to the provided question. The reranking has disrupted the logical flow of the instructions for making red sauce pasta, making it less effective in generating a context that aligns with the given question.\\n\\n[Choice]: (C) The reranking of the original context is not very effective in generating the reranked context for the given question.\"\n",
      "   }\n",
      "]\n"
     ]
    }
   ],
   "source": [
    "from uptrain import Evals, APIClient, Settings\n",
    "\n",
    "\n",
    "UPTRAIN_API_KEY = \"up-********************\"  # Insert your UpTrain API key here\n",
    "\n",
    "uptrain_client = APIClient(\n",
    "    Settings(\n",
    "        uptrain_access_token=UPTRAIN_API_KEY, response_format={\"type\": \"json_object\"}\n",
    "    )\n",
    ")\n",
    "\n",
    "res = uptrain_client.log_and_evaluate(\n",
    "    \"Sample-context-re-ranking-evals\", \n",
    "    data = data, \n",
    "    checks = [Evals.CONTEXT_RERANKING]\n",
    ")\n",
    "\n",
    "print(json.dumps(res, indent=3))"
   ]
  },
  {
   "attachments": {
    "image.png": {
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kQAIk0GsE8Ag2/AFtr92n04Hj4uJk6tTJMnbMaOTIarM+6vHwYUNN38GDi2TmzOmSmJhgzjMzM2XWrBlwtyDCaoeSnp4u++03J9S3w2WekgAJkAAJdEJARTZ7Cw9hnZCQKv3yR8i0mSfIiNHzJbffcLwH4z0ZMUv9cAr6IQb6gvtWCHp27kIrf6HmMIQDEW1scVFDkupHUEBjnppi5SBUUc8SCu29ttF+wXtojkSvOho1FKpLUpMLZMCAqTJ61GGSkz0Yc4rHaNZnmyUY6vj2PXAUZrFvW6c1A/4kARIgARIgARIgARIgARIgARIgARIgARIgARIggb5KYLfnNBw/fpycdOLi0ENczXF1zx/ul23btklRUZGcdda3pbyiQnJzcszv6MgjFsjy5Z8bkVErFh55OEKgPizr1q031489ZpFMmzbFPGDWh8Fr164z181F/iABEiABEuiUQJugZolsGh5URT03vtyRizCkxaP2l8kzj5P0jAEQ55Ig2kG4U9EQIqGKgib0qBH0kMcQoUi9cBqaehX6sBnBUB2J6GMcf0bbswQ+MzFVC9sVSyw088I1mAwhByJUKaanY/n9XoQojZP01IGSWJyG/InNmI9Pqqs2Q8BEbFS01r62u1D39hrtvd4uvI2es5AACZAACZAACZAACZAACZAACZAACZAACZAACZBAXyMQadPrYQLnnH2myTdlD5uWlio1NbXmND4+3giG9fUNRtjLSE+T0047Rc479yy5+Zbf2F3gPnTKLbf+RsaNGytHL1ooEyaMk3v/+Cfkr/LIJRd/V6ZPm2pEw7FjxxjB8L33PpAXX3pZ5syZJSoyJiQkoK0Vri40KA9IgARIgARiEoDX0JjzVMNT13dKaq6MmbhAps46WZIRnhSeQfEiTqjT74ZgCLHQi82j4UdVOFShsNUKTWpyGLYGXYG2WKh7awsdmNyFdmXktGzRT69AxsTsoBgaQRDCIbq54xA2NSFXRo44BI70dPn6q5elprbU5DhUQdASBVUc1PuiQ5RC4TAKFFaRAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAn0GQJhwUB7Z82NjY3IMVUf2sLzGY4ZM8o8yH39jTelvLxcVq9ZK19/s0KSkpLwUDo5NKElS/5t8iJ+/PEnpu6rr76RLVtKpAIOxIaGRikcOMDUT5o0wTwM3oxretzY2GTOp0+fGhqLByRAAiRAArEJqKBmCXp+7P340kWK5PUvlhlzTpHi0Qcgn2GGJdoFXOLwOSEUQhzEFzhamrFh79H8hSogwm2oYqLZjMPQHlf3bZs/dGyJiOH31vtbm9VeRUItGtbUOBzNPhiyFKFK1dGYlJgtAwsny/jxR0v/fiMgIKaghwqMdlhSy0FpKjr8iCUmdmjGUxIgARIgARIgARIgARIgARIgARIgARIgARIgARLYJwm4w9I89coCH3/iaamurg6N/ePLLg0dFxZaYt8336wM1WmY0QkIWTpwYCEePntC9Xqg+aw6PtT1ehGazuky7TSEqTpFFh11RKifjqGORhYSIAESIIGuEsB7LT4c9L01I6tAxow7WEaNPViycweL0+GEe88H4c6BPUKSQiA0IUjhMmyFq9APgVDrfT64C3HNDzHPzl1oND+jCmIeljpo7fWDyK5XSVKPg0UlvgBciOFOQdRgTG2AdsjMqwKiA5FIfXj/d7kSJC11gCQUpWA+TVAKnQh3vQqCYrjb3IwavAN3JEACJEACJEACJEACJEACJEACJEACJEACJEACJEACSsAd/nB2VyNZs2adzJ41UyZOHC9vv/2Ouf3IkSPMXsXDAQMKdmhKW7eWSl5ertx2+13GgbhDndmYBEiABEggSMBhwkInJKZJ4aAJMmXm8ZKVPRDX4CyEm88IhsbZB4HQCINw++HchCnFXkVFDVPqx15FRNUANfqo0QJVDzQCoV2Bc6MZQhhEvcp5VkM9sEq7Og01Gqw342lsUus/My91OOoXRVJT8mX40HlGvGxqqkZY7BIMa+VCNDe0Bzej6aRQq7FLUXbn56KZAH+QAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQwG4g4LQfku6Ge8vKlSvNw+UD588z4UTnYz+ieLhUwZnY0WXYlfl9FAxfes45Z8ngwUWSjhyJhx16cFe6sg0JkAAJkECQgOaRjYtLlAlTFsqU6cdJNgRDp9Nt3H1+uAg9CEmqoqAJEwrlTl3gPrj91GFowpEaIRFtVDREfcBsQZFQ9TlLo2vjbdITWg5DFexibUZMVIthUFyEydASDE0fiJYqUBr3Y6txPyYlZUvRoBkyYviBWE+SuZ/lWLfClVoT6DgZq5Y/SYAESIAESIAESIAESIAESIAESIAESIAESIAESKCvEcBT4N5Zsu3UCM9haN/JvubDA9777n9Azjn7TDnh+OPM5draOvnjH/9kN+3S3h5v7dp18sKLS+SIww+TcyEcamlqbpZ33n2PzsMukWQjEiCBvk7AiZCkKak5MrR4howaPV8KBo4Rd1yCJQBCsDO5BDU8qYqFPoQEVWehugqDTkPjMlSnoS0YBj9j7PdpI/wBsuXp05/qLgxzGZpfgHU19LvAGEEToBEJHRquNPyzS69DLAwEEB414MQ1h7Rirm6XQ1KS+smA/AlSV7dVNm1ZLrW1pSFHYWh8HpAACZAACZAACZAACZAACZAACZAACZAACZAACZAACYhj9pwDA2VlZbsdRVZWpnEXNjQ09shccnNzMV4LHhDX9ch4HIQESGDPIVBZVb7nTGafmglEttRMhCSdKLP3P00KiyZKWlquEQhbIQK2mryFyGGIEKA4RWhS5DTUOjgPNbehDzkNNZehhjD1Q1FUoTAkFgY5tdUZnyAEw6BzEG2NIqg/zXEkWJUSjWCIPk51HKrYqGqi3R5Dwj4PVyRCmDpxza05Dl247JHqmnXy+VcvyqZNy6XF02D6ht/Pdt3HunfkbFhDAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAvsWATxS3TNKVVV1j06kvJyiQo8C5WAkQAL7PAEV2wYUjpMJkxfKsOK54nLHQQD0SKvPA1chQpC2CvYq0rlx7EEIUK+0tqhYiA1Coe0ytAVDzVEYEvRseqizPneCIUKDWqGKdpb2ZwmBHcU7qw+uIRSq/bmle3Uphgqu6f8QDRUXAuL0QzyMC2AdbsnJHSFDB+9vxM61694NOhctUdO6d9g4oQF5QAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAJ9h4A79PS176yZKyUBEiABEuhAQAXC3LyhMmzEHBkybIa43YnGNehrhXvQj7Cf6iyEYOjzOU2+QC/EQnUZtgmG2s5yF9pDdy7DqWBn5Ts0jj801pCjCC6K7nAIIq+iFr9REnFBr5srwX3w3DQyP1DRrmgfq4fT4RY3wq4W9h+NnIceaW6qkKqaTXCjq+PQEi8pHLaDx5MYBDTfZ0FBvmzevCVGC1aTAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQwN5LwG05O/beBXDmJEACJEACO0fADcEwJTVXikfuD8FwumRnD4JGBw8fnHs+OAxhIgw6DXGM3IUeD8KTmrCkQdHQ5C9ESNIAGkKoU/nOdg36/F7kO2xGvyaENW3EvhniIpyLKjBCjDTCofgQVtQFYS9R4lyJRrBMTEjFPgGzwHdbcM1YA40uqGKgOdC7mPtFX701f9xCfA6/ERwT4jIkL3u4DC6cinm0SHUrnJK+5lD3cLdjqJIHJAACeQh5/vdnn5IRI4oND3XCfv75F3LSKadJdXXPRkog8O4RmD59mgwsHBDReenSd2XbTkSfSEtLk0MOPjBi3PLyCnl76TsR9azYeQJHHnG4JCTEtxtIw16/+NISk1e33QWekAAJkAAJkAAJkAAJkAAJkAAJkAAJ9CgBx5y5BwZKS3d/TsMeXRUHIwES2KcJMKdhT/56HchbmCMDBk2QQw67SPoXjJa4uGQIe5q3sBVCn1daWjwIP6rHutkOQ2QjbIWoqKFJfRAGVTA0Ip7ThAe1QpTC1ddcLU2N26S+YYvU1W6SRhw3t1RjvBb08WPzGuFQ75kUnyFJSbmSmtxPMjIKJTUpDw+OM8XtSoFo6ILwB+egCU/qgyvRup/DYTkSLSK2mBg8U+ui5jzUXIdO5EHEPhDAGjz1suzLZ2Rz6eeY1zbTWAVDy8OobXSc9mNZI/JnXyXw8IN/kQULDo1Y/iefLpMjFx4dUc+KXU/gvXffkqFDhkTcWMXdQxccGVHf1Yr95s6RZ595MmrzefMPlhUrVka9xsruE9i6ZQPeuvU9uX256eZb5fY77mpfyTMSIAESIAESIAESIAESIAESIAESIIEeJUCnYY/i5GAkQAIksHcRcMclSMHAsTJ95gmSg/Ck7rgU6HIQBOEw9CMUqeYw1ByB6jBs9WJTl6FXBUPsTR5DhC7V8KUQ2VRrU1Gu1dssDQ0lUlmxQmrq1klD3RZpai437j4V5NRh2OprMaDUaahFnYYNzhIIe/EQCeONcJmUnCXpKQWSnjpQMtIGSlpqviQlZOEmTuOC1Bsafc+MoD/0IXOY2GcO4ZnUMKVGY8QxREa3O0mGDJppXI+NjZVYr16EJIlmu1swnDlzhowfN04X064sW7ZMVKDqrBw4/wAZNmxYRJOnnn5G6urqIup7oiI/P18WHnlETwwVGuOlJS9LSUlJ6Hx3H6jj6dBDD446jYkTxket312VxcXFcsC8/WPeXl8H6zdskNWrV0tFRWXMdvvShYSEhF5bTlJiUq+NzYEjCSQnJ0dWsoYESIAESIAESIAESIAESIAESIAESKBHCbijfJG3R2/AwUiABEiABPZcAvkFI2R48UyEJZ0mScmZEM00byFEPQiCrQg7qmKhTx2FxlUIIdFrhSxV0dCP6yb8aFC880EIrKvbLDXVa62tdr1xGbZ4ajFOEyCoaIdQoygqNGox7kGIdUY6tKpQqQKeUxqayuAELEX+wXWW+zCtUPrljISImCfxcakQA11BV6MZKvgjTDiEaKhnDrgTzQEEUDUmulxxkpM1VOrheqzF+JXV64NiYfg4YeJjeHUvHz/5+N/gtowUIpa8/Iqc9Z1zO7374489Am664vblk08+kWXLP2tf2UNnKlTefNPPe2g0axiv1yMPP/Joj465M4Np+F7NZRituFzW6znatd1R9+gjD8rgwUVdurUK5KWlpfKvF16Ue/94v2zcuKlL/diIBEiABEiABEiABEiABEiABEiABEiABEhg3yXgDjdl7LvL5MpIgARIgATCCTidyCEYlyhDh82AaDhLMrPyIQw6xIswpK0ISaqhSFt96i60hMNWFQtVOESdXzfYD60QpBASIQBqvsL6+lLZWvKRbNu2HOLhRuPkMzkLjR3QEuHUiWgXWzC0FD2tbRPqdGw7B2Jd7RYpd66AcJgjjc1bZED/iZKdMViSE7IReTTODKe6oGU7NDKhqbOPTJRSFSxRa1yHcComJ2ZJ/7xR0tRSg5CpVQjBWmfckg40bu9eNEPtsh+xxKmuTCCaYNiVfmzTOYGGhgZpamqKKuZq6Ms9qeyIiKmvF3WKnnfuOWZb+s67csaZZ8Ml3LAnLYlzIQESIAESIAESIAESIAESIAESIAESIAES2IUEon91fhdOgLciARIgARLY9QTiE1KkoHC0jBh9gOQXjjXuQo+3BUId8heq0xCbCT+qjkMVEFVM1Dp1F2LTfIS2I9Dra5ayss9k5YpnZd3aJVJdvcoIfpaoqB5CdRiqe7D9ZlQ8s/Q2sTAoLZq26oQyY6C/3++VOrgCV61bKl9+85Ks2/ghQp7WiMstED+dcIKhp6qDQeHRgb4qSqpQqB90Tr/TCIZOOCldqgpCZcxMHyiDEaY0J3uIxMUnG/FTxVB7DBywkIAhcM2110e4UfW1cvW11+0zhDR331dfLpcjDl+wz6yJCyEBEiABEiABEiABEiABEiABEiABEiABEtgxAnjcykICJEACJNDXCKSm5sj4yQslu18RQna6IPI1QwxErkKjp6lIh7CkOLFClKpoCDFRQ5Ki3nLiqevQAwdWpWzc/A5Ew+VSU7UWTsVG5BvUNmECHsTC7Re0RzNtqX3bd3EYKVDH9fmbpKpWXYxeE1505JD5yHc4SOLjEzGf4PzMIqx7Gh0xKCSqGKhjm/HhZFS3ZVpiDvIbTpdmOA1VhGQhgWgEHn3scVn6zjty1plnSEZGhlRWVsifH3hQtm7dGq35Xlun+f/+8sD9ctjhC+WLL77ca9fBiZMACZAACZAACZAACZAACZAACZAACZAACXSPgBuPT7vXk71IgARIgAT2SgJJKenSL3+4FI+aI6mp2RDRNASpugidCD0KE55PRUNsQVehOg+NwxAXNeehSnsakrShaRvEws+lZMt7UluzHmNo3kL4+tRRiCPVDXs0ZKYZ1CEeT6NUetfh/uWSgBCrgwsFbsGhcBy6MWfMDfPXCRjd0lJBca6fdcHQo2ZtfnFhnvGuRBmQN07KK9YivOo2hD+tRjsWEogksH79BvnZz38ZeWEvqbHEeP0j6rxoiNzn//60TJw8naFKO0fFqyRAAiRAAiRAAiRAAiRAAiRAAiRAAiSwzxFw9+gD3X0ODxdEAiRAAvsWAX3Pz+s/XIaORFjO/oMRqtMJByFEQbj4TPhRr0D8UxehWM69sHCkAc33h03zAnpaG6SqcoWsWfWSNDRuxRgtEObcuAaXoUGmoUi7xy7yc8kaUUfTa7pprsRm5CP8ctUrmJNIUkqGpKf0g2vSClUaQDhSLEplQuOexE/oiDohjKVCooqIEBfdbpdkpBYgT+I4iJCVsmHzJxi77X7dW8Ge32vokCEI7do+2EBJSUlIJEpKSpKjjjpSDl9wmOTm5MhHH38sS5a8Ih9/8mm7xT333PO49km7Ovtk2tQpcsftv7NP2+2vvPpaefvtd9rV2SebN2+WuLg4GTx4sF0V2q9Zs8a4XbUiJydbLv7+RTJx4gSJR/vSsjK55557I+aobXW9c+fOlqlTp8rIEcVSVVUtny5bJu9/8KF8+OFHcNrihd9J0dx/qampES02bdyI1yFe+2Fle2y16TFHL5JDDz1YBg0ciHyaLfLe+x/Ia//5r/RWjkR1Dap7cMrkSXLQQQfKrFkzZfasWXDoWjlBw6ZvDnWt995zl5xx1tkdL0Wc62tlxvRpZsxJEydKenqafPPNCvO6eHvpUtm8eUtEn84qiooGycEHHyTjxo6V4uHDDJ9333vf8OmO+7G5uTl0u6lTJsupp35Lhg7F6x/vFcuWfyZvvPGmvPX2UvPFiFDDLh40NesXJURGjhwhRy08Uvbbb645X7lypbzy79fkv/993Zzv6I9FRy00r9fhw4ZJSkqKbNy4SVZgzMcef7Jb7lYVgidOGG9+R1PxdzmwsFA2bNgon3z6qSjbrnDd3uta82lecP55st/cuciRmyn1dXXy1DPPytNPPxt1+aecfJJZ47ChQ6UEjt233nrbvMdsKy83vwt3h/enqIOwkgRIgARIgARIgARIgARIgARIgARIoMcJOObMPTBQWlrW4wNzQBIgARLoLQKVVeW9NfQ+Pa4TCQBT03Jk6szjZPK0RcZt6EOYz4a6GqmpLpemhjrxeDVsZ5KkpA1EmFGHeD1eOPuaLechhEU/hDgf2mzc8CbEgHelovwrSzCEW1GlNs1BaIS5nSDZFUeUJew5xI0H1ZmZRVJUOF0mjTka4lEq9EAn5o4JaLhSk5vRa8KZOlClm5kfhEeXy4nNJU4IhzUNW2Xdlo/kM+RLVDFSnZRWa3Un7joRccO6VaIhIjuWJS+/Imd959yO1e3OS0s2tju3Tw4/4igjjtjnui/ZvB6/5/ZpjR9/4km57vqfyt8e/qvMnDkjvHnoWMW1Cy68SF548aVQXayDuciR9/dnnox6+aSTT5U3IRLEKppf79kofRccfpQs/+wzufWWX5pQoR0F5nBOKhDdgnYTJ0wwQnOse3k8HvnhZZfHFDe033vvviUqmnQsKjguOmZxu+pobB988GG54qprTL7Ae+6+wwhB7ToFTz6AiHnc8Sd1S8DSIT7+8D0ZOBDW2w5FRaFDDjuiXW1mZqb88/lnjeDV7kLwxIO//cFDi0MibXgbFXWvuPwyOefss6KKqeFt34cg+u0zz5ba2trw6ojjgoICufuu2yE6zYm4ZldoeOTln30u5553foQYGet39DpEweuuv1GeeOwRGTBggD1Uu31FRaXho8J5xxLrtajtjjnuBLnnrjuiMtfrZdu2ycUXXyo6h+0VfS/61a03ywnHHycqxMYqK1eukh9fcZW8B7Fve0WFuWuuvkJU9O6s6DxP+dbp8r//fRWzWbTX9f1/ekB+ct0NcjzmfPvvfwsROr5dfxUAx0+Y0q7u/P87V66+6gpJTk5uV2+faCjgxccdG5XBbbffKTff8iu7KfckQAIkQAIkQAIkQAIkQAIkQAIkQAK9QMC9M89CExISJTEpGU6N9m6FXpgnhyQBEthHCGgYzOamRrhH2twf+8jS9uhlOBxOvFfHS1Z2IZxAuUZM27RuOR7kb5Pqqq1SXVkqDfXVENd8eF/PkcKBMyUFDjynM9GIBiZPIRx6rd4mqakpkW1lX0hVxSpzrkKccfSpg89Ih72PwhaL/FAH6+rKpHTbN1KaN0rysSUnZEE0VFekuhLhjFSXIdppuNU2AdAKwarXVBxMjM+QzPRCyUzLl0q/R1oQAtWsKqQXhg56f3G76Q7qbjp+8XERD/7Dp6Ni0QN/vk9+9/vb5dZf/Sb80i45Hj16FASHy41bLtoNVaA69NBD5Oc/u0HUwdSVokLH3XfeLiefdKKcfMppXekSaqP5DbtSxo0bK7ff9lv51iknd9pcxdr33nlLZsyyHGudNt7Ji9XV1XLogiPk8+WfmDyNHYdTF6IyUTHZLunp6fLTG6+Tk048wbhB7frO9upq/PLzT+WUU78t77zzbtSm2ua5Z5+KELI7NlahW92SKo4+9vgT8uPLr9quwKqi8Zuvv9apcKyu1Q/ee1tmzt5fogmHHedhn2sYV/u9yK4L3/fLy5PHIVZe+N2L5Lnn/xl+qd2xOgr/AQE3NzenXX20kxFwyiqru+7+g/zilzdHNFFG373wfLnk4ovwhYrMiOvRKnSe/3n1Zbnl1l+LCnNdLYOLioy78Gc/vSFql9WrVrer17+zE088vl1dx5PT4ARlIQESIAESIAESIAESIAESIAESIAES2H0EnPqwtztFBcPUtHQKht2Bxz4k0IcJ6JcM9L1D30NYdh0BfbDtdsVJYkIKcvdVyro1H8myj1+QD999BtvTsuyj5yAe/Ev+98WL8s3/XkbY0dcRfnQtnIYNJhSoOnw092GLp1bKti6H0LhampursACIaRq2FN9A0es9UTp7CN82vh2mNCDe1maprSuRtRs/kPqGbWjih/jgsDbjJnRLnDtOnHDyaDHCoWqAEBY1/6HP2yoOaIduRzxel6lwHyaIE7zsEnZoV+2Tew1J2dEpFGuhP/rhD0RdTLu6XPz978UUDHUu/0E4yPv/eE+XBcPw+c8/YJ4Rw8Lreup4OsJ3bk8wtO+l4TmPO/Zo+7RX9y0tHtFQsbHKWWed0e6SOgtV1FHxeEeKvq7uw+8lWlGh7OknH9+uYBjeV98jlKeG7txeyc7O6lTYs/vrHH/x8xvt0y7tu/JepW3u/cPdor/XaKWwcIC88fqrXRIM7f46pv4t3Pb7SOF+0KCBcv1113ZZMAwf88orfix5ubl21Xb3EyeOh4h8fcx24eGM1R28PcEw5kC8QAIkQAIkQAIkQAIkQAIkQAIkQAIksMsIOLvrnVCHIQsJkAAJdJcA30O6S657/TQHYEtLo6xft0w++eB5WfrGw/LpR/+AOPiBVGxbK42N1Qgz6oGIhnClDWWyasW/Zevmz+A+LIMPLwAhzQ33XivalcOJ84E0NZcbUU5n4w86DO0H6JaAaAmJXZ6tfhhh63pfe3wrv2FTU7VsRD7C8uq10tJabwRCBwRDFQ8dLmwIQaqCtYYA1NJ2HzgQIYg2NtVIRfUG2VL6BcRQDaMIhyIezNtrMp34ox2B6667pt35rjhRl1Wsor/Hr7/+Ru5GXsPull/+4qfd7dqj/a6AeLOryvNwwKkDPFoZCEErvNx51z3S1GTl8Quv78qxilHnnXtORFMVoGPlVoxoHFZxxZVXbzfkaVjzLh0ecfiCHRZEuzKwvo/86f7I16W6Ape8+M9u3/PUb50SITCvX78BuQqXdWVaEW10Pvfee3dEfawKDXva2Xvkm2++ZbqOHz/OhBOONQ7rSYAESIAESIAESIAESIAESIAESIAE9hwC3XYa6sNXFhIgARLoLgG+h3SXXPf6qUimefpamhukHiFJa6pKpKmxFk7CJpPvT3MR2kKa5gH0tNTL1pJPpaz0M1xvhvNOEFa2Eu7DFdIIUVEFRg3rqX3U2WftrbnZYltnD5PD29srggxoH5p9tDbtGoRO4BbE2tT5WFG9Tqrrt8A2iHx9EA2hGuKhNjYVD3HsNEIizrWvcUda4mNp5UojGHq9zahWFuZy6A597UDZa/hKFeJiFRWBdpUjLtYcwusrKivN6W9++3uErK0Lv2SOte6rr76OyIUX3lDDjXbVERjer6ePuxpatSfuq7/j9evXRx1K3afhxYcQv7+86ZbwKnOsuS43bdps+GqOyFhFBcKO5aiFR3asMueNjY3y0EOPyB133mXy94W/Fl999T/y8COPRu23M5X6uTR//gE7PISKrjU1NZ32mzRxYkRuQc3t169fv5j9WlpaRPMtdvZeeBtyCXYsGg61Yx/lpzkGNW+h/m3HKvvvN7dLDs5Y/cPrlwbD0d51x22diou6Tp1TxzmHj8VjEiABEiABEiABEiABEiABEiABEiCBXUMATsP2D2l3zW15FxIgARIggV1NQB/IquOwtdVrNvv+Tqdb3HGJ0Ndc2NSdB7ENnw0anrRs65dSA/ee398CB2IJXIlfIY+hhiy1Q5G2FwztMXd0v7OfRWZdEDsrKtdJedVa8fgaJeCCW1CdhUY8hEwYFA5VPISOaNbo83mkpqFUSsq/lm3VawwfHct6eN03Px/fenupDB5aLKPGTJAhw0bI6jVrYv46L/3BJTGv9fYFFQC/ddoZMnb8JDnp5FPl0h+2ufOu/ckN5vYqZv3t0cdlWPFoKR45Vg48+DCZOn2WXHX1T2JOb9rUKTGv7eyF+vp6ueQHP5LBQ4rlhz+6HKGC66MOqYK75tnbVUWFqWglMTEyjPT9f3pAyssrTPO169aZXIUDi4bJtBmzDd8R4FxZqaGLI0tWVmSOvVh5IW+/4y65HG7CX950qxy7+ESZNGWGfPTxJ0acPPM750QO3kmNCmaah3PchMly9LHHd/qaHtmJm7XjLfR94le//q0UDhoqI0ePl/3mHdSpE/M7HcK9fvv00zoOGTr/8wN/kSK8TvT1rTkuVUSNVpKSkmTx4mPbXVK34SuvvGrqVMy88ac/l4LCwTJ+whQ56JAF5m/7zbfebtcn/GTChPHhp106rqqqliuuusbc49AFRyLf5JWif38aQlZzkcYqf/rzA2ad+n4zfuIU+eijj2M1ZT0JkAAJkAAJkAAJkAAJkAAJkAAJkMAuIIC0TcZvsQtuxVuQAAmQAAnsGQSssJuWI9ApcQlJkpqegxB5SXDi2bn/AuLx1OPh/yrZuP5t5DKsgMCxSSrKV2AJfrhG1IlnufQsgS36ysLbhB9r647n0Uaw20S7ZtWpsKfrMSog5rtetpZ9JVW1GyF7torTrWIhZowtoE0gHDrVhajzRyLDZuRoXFvyvpSqg7LZcrqogAlfZgcBMfYM9qUrL7/8bznxpG8hlK3lFtP9YQsWBkXUyJVqeMLdUZ56+hkjUP0XOQxV8FIB5NVXXwtN5YknnzLiXPGIMfKjyy6H4N0QuqYHDz70sBE02lUGT4YNHxateqfr1Ik3eepM0bk1w1n16GOPyy23/jrmuKNHxRZaYnbq5oXKqugin36BQLeO5ZRTTzfi2+w58+T1199od1nX9uzf/96uzj7RsdLS0uxTs6+Kce/vX/RdOWDe/qG2ZWVlctSiY404qY7HrhZ1Ph52+EK59Ve/MWLnBx98KMctjp2Pc/jw4V0dWi6+5Ify29/dFmq/atUqiNeXhc47Hiw47NBQlYrTmm8xWlm5cpVcc21brsCNGzfJSafEFhgvvuh7EcN8/5JL5YILv2fEzD/ce1/E9Z/9/JcRdXbF+HHj7MMu7Tds2AhRd5o8+ODDxs34+edfhJygmgcz1v/X0JyHtsCvN1Ix+qijj4v5ftOlybARCZAACZAACZAACZAACZAACZAACZDAThFgjNGdwsfOJEACJLDnE7DFQXUSuiAKpqRmSVpGf8nK6i9pmf0kJS1P4uJTpHTTatm47mPZVrYCopmKesj111ApJZs/hYhUJw11pRBa4OBDDkNLzLMe3Md6INyTZPR+WqLfS+djXfO2tkjp1m/kQ89jkpM9WFKSciQ5IVPSk/tLQnw6opbGiyOgWRp90oBwq9sqV8um0mU4LsfollwICdLcqy/+2LBxY8SyVXD78sv/ieYl61hSU1M6VvX6eWlpqXz/4ku3ex8V57SoUDV3zmxZtGihzJ41S4YMGSzqzopVCjvk8YvVbkfrX1ryckTY1Hffez/mMIMHDxY7vGPMRj10IZqj0B46PCyoXffFF1/ah6Jhao899hg59JCD4DIbj7+77KhCo91BXWzvBMNWat2rr/1XzjzjdPtyaK/i4lNPPibqYFOB9de/+V2nLr5Qxw4H69atl/D56mUVID0eb9Rcivn9+3cYIfbpihUrIy4+hxyRdyIcZ3x8fMS1vH55obr9998vdNzx4A/3/rFjlXHgqYMzmtBYVDQoon1tba3oXLTo6/2IIxbI4QsWyPRpUxEmtX+neRRHjRoZMV6sCn19HH7kUaEvGnRsN3nypI5VofMr4UxkIQESIAESIAESIAESIAESIAESIAES2LMIuO0HsXvWtDgbEiABEiCBniKQmpYrmZn9JT2zAKHiIKBl5mODYJiWIwmpGRKfkCLOgFuyMopM3j+Ptwk5DzeKH0qcz9cCh2G5aJ3f54Vg2IppaS7D2LnuemreOzKObZrXvI219dvgGqyVqurNkpyUYURDIx4mZUsShMMkd6oRPqvrSmQrwpLWNmwVr6/Z3M4Jx2JOVpEkJKRKK0KXllesM/sdmcvOtI3loOpM1NH7RXOD2fNobGqyD7u9X7V6dVTRMC4uDqziYwoG3b5hJx2vv+GnnVxtu5SZmSk/vfE6OeH4xZ0KJG09rKOM9IyOVb12ru7DWMWlYXV3UVGhL1pRYS1WOeLwBXIj+A4dMiRWk6j1w4cNbScaquszmmhod9aQphd970K54PzzZMnLr8jV11xnRD/7enf3Hk9LVNGwJ7hXIr9mNBduSnJyaLpDhw4JHXc8UIE5Wvn6669l7tw5EZdiieAjR46QW2/+pcyBaB79CxcRQ5mKQQMLo1+IUvviS0tihqPV5tE4aL3+/w91JLKQAAmQAAmQAAmQAAmQAAmQAAmQAAnsWQTgNNy7HBWzZk2XCePHyosv/Vu2bCnpcZqJiQmy+Lij5Y03l/bK+D0+YQ5IAiRAAhEErJCddnVBwQjkdJslAwZPkEy4C1PhLEyAUIinyOJp9ZgwjX6vT5KTc3HskZbmRuMwDLRo7kIVB33iaa5De8vRZ+UztJx/9j3C97vzyyh+v7offcjZ2AIhq15qajZjmchh6HBJQlyKpEI4zEjNlzh3CsTCUimvUVGwRZ9gQ3hzQVxKlGFFMyQ9LR/iY5nU1G7dpaKhhgNNDhMWbK6xRB37emfuuIoKK/+c3bY7+23b1IkZvWg4x//976voF3uhdu3a9dsd9aQTT5A7bv9dp2JqrEF2RFyJNUZX6zXnW6wSzeEXq+3O1hcUFEQdomNYV22Unp4ur/17iURzt0UdpEOlU/OMhhV1AWqozOuvuzasNvLQ7XbLoqMWyoLDDpNjjztePvl0WWSjHaiJ9T4Vq34Hhpba2rqoYllcXJv7cNCgSHeg3kPvHysn5NatpVGnoWxc4Br+pYO77rxN9O+gO0Xzvna1lJRs7bSpOlGjleZm64sa0a6xjgRIgARIgARIgARIgARIgARIgARIYPcRcNvujJ6ewiEHz5fTTo3MGfOvF5bI35/7V7dvd/ppJ8vUKZPgfGmQx594ptvj2B2nT58imzdtkZLgg5jzzj1LvnXKCXL0oiPltG+fazfjngRIgAT2IgLtvwwycsRcGTPxYEnNKoCI4jZuQpX8fBAMW+C28bW2igNJ/1Rcy+s/QrytXqmr2Yown19DPKwSP8KRmoKH2SaEJ/axPjt64oG7dbPIn9sTczreW913dh8VOpsRYtWD8Ko19fjCCUKU+lDn93vMQ3pdUEJiqvTLGSbDh84RtztOmjbUxlxn5Ox6pkbdT9FKdgwnmN22M7eXhnfc2dJZGFLNQ7YnFXXA3XnH70O/+z1pbnviXNQJlpubE3VqGuIyvCQmJMiH7y+FczkzvHqnj+++514IbbVyC1xxKoB1VuLj4+SFfz0vp3zrdJPLsrO2u+taLGdwK95b7RJLFLbfs+x24XtnF92nt9z8i24LhuH364njVp+60yNLZ+7oyNasIQESIAESIAESIAESIAESIAESIAES2FUEnOYZcC/cbfKkCTJq1IiIbfLkib1wt+4N2S8vV2773S1y3U+uCA3w8iuvybp1G+Spp/8equMBCZAACezNBJIRkjQlORt5C5ONaBjwO0SjjAZ8cPz4nGbv9zmk1QMxUBIkI2OQjBh1mPTvP0YSEd5TxTgV3dR1qMe7QzDccf7ITIiJWnPV+QcQbjXoQPQ0SLOnHm5EhFyFM1HbaNv0lDwZXTxPsiGuJoBVnAuuIGuAHb99N3uUlW2L2jOWqGM3noY8ZdFKKwThWOJEtPax6mK5orS95ofbU4qGS/3LA/eb32e0OanAecedd8nCo46Rt5e+E61Jn6u75uq2fwN1XPxHH33crupmiFGxBEN9nb3x5lsm3+TkqTPb9evKycOPPCrFI8fK3x593LifO+ujgtPdd93eWZPdei0jIz3q/evr60P1GzZE5g+1L8Zy5xVA4I1W1LFquwwPOuhAOfs7Z0VrZuq+/vobue76G2X2nHlwYtfEbNdTFzZv3hJ1qGg5H6M2ZCUJkAAJkAAJkAAJkAAJkAAJkAAJkMAuJYCvcwcdJL1029f+84bccONN7UafMGGcDCwcIO++94FUV1sPLFRgHDZ0iHz88adShjBoc2bPlClTJsryz76QpUvfa9c//OTA+fsjzF6CqNinZfTokTJ0yODQOFqnY8+eNUMaG5vkmWefNw9QMzMz5Nhjj9LLkp2TLUcecZi5l4Zg+9ujT8radW3hz5xOh8yaOUOmTZuMh4zvybJln5l++mP48KEyckQx7v+q7LffHBmNez322NNS39AQaqP3On7x0dLU1Cyv/Ps/UlFRGbrGAxIgARLobQJuF0LXwWGokUbxXB+5CSGgIYpnIGAJhgFzjrpWPx48i7id6TKgcIo0IJdhS3ODbG35Av2Qz9B8y6S9i7G35x4+viVYbu/+1nUVFTIQitUN4c+HdbW0NJpwpRq2VJdhaYGWqKifgiqq9s8bLkUDJ0tiYhocic0I9xeHiKyW+GitPXw2vXP8KUIuTpgwPmJw/ZxbvPhY+fvfn4+4phXnnPOdqPXl5bHDikbtEKNywvhxUa90Fl4zaoderjzk4INihiT9xU23yJ133h2awa76nYZuuAceTJ8+TU4+6cSYM/vt725rd23xcce2O7dP9N81c/efj3/TWa5WdSR2pzQh/+aPLrtcLr/iKjn//86V71/0vZguyH79+onep7kluju3O/fviT7q3MzIiJ4XM/zff6uRJzRWOfHE4+UP994XcXncuLERdVoRHkb25BghSfULBItPOFk++ODDqGP0VqWu84B5+0cMr1/UmDpl8k6HmY0YmBUkQAIkQAIkQAIkQAIkQAIkQAIkQAI7RWC35DQ8+aTFctCB8+SFF16Wm2/9nVnALTfdKHlw/l34vR/KIw//CTmdkky9hjhtaGiURcecHPWb5zdcfzVyULlDouH3vnueCV96511/lCeefFYe+PPdRtSzKV30vfPkiiuvN2LfWWeeZqpVwLz2mh/LI397wuSRueTiC40w+P1LLsfD4wR54rG/Sg6ERS0aunQ9vh1+xpnnG/HxB5d819zvwgvOCbU584xT5dIfXiUff7JMTj/9ZPnuBeeavvpD53fWdy6UNWvXhep4QAIkQAK9ScAF4cwJAUzFMpjtIKKpcOg3AmKr1y+tXlxACFIfxMNWCGzaJh45/woHTBNvcxPcKJvwpYtK9Ncwcyqx7XnFFoA0xKoWtzteRo+Zh9yEedLY1CAVW9chDPU3yFFYZt67VTS05EW4LqGkFhaMlaGDZ0pKUqY4HSqyIr8hQpQ6sN+V5T//fV3OPPPbUW/5s5/eIK/gCyrhAoE2VFdRv7y8qH16ItegipWxRJANGzdGve/uqly0aGHUW6urK1ww1EauHcjbFnXQvbzyzDNOl5tv+kVMV2bZtm2yes2a0Co1Z15SkvVvs1Bl8OD8C74bEgy1Kn4HRcPZs2cZAfD1N940I6prTkUz3a668nL54aWXBO/Ufjd27Jg9TnS6+aaft59k2Nl7778fOnv1tf/IDdf/JHQefnDeuedEiIYLFhwqqamp4c1Cx6tWt/2eZuJLbtHKU08/EyEY6u+0t8tXcDbGKtdee7WccOIp7S7r77SzEK3tGvOEBEiABEiABEiABEiABEiABEiABEigxwlYT1d7fNi2AecfsJ+89MIzZnv0kT+bCw8//LjZz5ljha9KS0s1gmFtbZ188cX/ZDUefjz19HNy9TU3IuzZNklJSZbDFxzSNugOHH3++f/gDnxXrrz6Bvngw49NrhwVLf/z3zflrbes0GSbEDrpppt/K//450sRI//q1p8bMVAdiHfdfR9y7tTJ4KJB8pNrL2/XVtdw3/1/lQ0bNpmHHYsWHWGun3G69TDksh9fa9bz4ouvUDBsR44nJEACvU1A8xiqEKZ6n+YnVMGw1WwQCVU0hFDoxV43deX5W7XeJ0mJOQhROh4u8Hn4AkXsHGYq2NmiXW+vZXv3UWe4ugxVNMwfMEqGI5/jxAmHy9y5p8nBB31XDpx/vkyferwUD5uDtY3E+/tgKR46U4qHzJL83GL0tR6iOxwuI7RaD68tebG316bjv7TkZfF4PFFvpcLgZ8s+kou+d6FMnjRRjjl6kTz+6MPIA/eLqO21UnPF7Uj5zllnmPHtPkctPFLuuesO+zRi/9jjT0bU7c6KokGDot4+P79/OwfijTdch9fEnKht98XKfqDWHqIAAEAASURBVP37ibrX7rj9d/L2m/+VDetWya9/dUun+QM7ugw1akKsMn/+AaFLRfg30vvvvh06396BfinrqScekyce/5sseelfUlBQ0K7LvX+8v915+MnuFpd0zuEuOhX2Fx5p/fsvfJ728Z133WMfyooVK2Xr1q2h8/CDgQML5eEH/xJ6zerf+wN/inQe2n1+/RvrC3h6npUV/b16wvg2B3NCQry8+MI/YoqQ9rg9sV+Kf4PHKvvvN1eUmV00tOorS16wT7knARIgARIgARIgARIgARIgARIgARLYDQTcvf0oVB/oqBNQi9ttPYxdsXKV1NXVS3Z2FnLjIEzoMZYzwBbxvnvRj0xI0VNOPj70rfZDDzlQ/vXCkh1G9Pvb7jaCpAqFAwqsXDDjxo2R0tIyWbb8c5k3b65UIqzWiy+9EnXsMQh3quUqCJjffLNSytH2xuuvkmlTJ7drf/+fHpTHHn9aNHfLT2+8Rux+VVXV5qHMNVdfJn9+4KGQs7JdZ56QAAmQQC8S0NCkKoKp01BFQ59uEAd9yG3YCoHQB7FQQ5f61H2ILQDnnQPxS53OOElPL5RBA6fDpfcFQpXWoI83Yqb6Pr89MS+iUw9WdLy3zscdl4AvnORKRuYAhChFqMTMVsnMGiT9G6qlvrYCn0Hb4NirFC8EutTkLOmXOwzts8DJaTYVD3Uz55jrrvRXLnn5FSMIRkOkTqPrr7s22qWIOs1XtqN5+zQnoI7/EziAlKNusYo6NB944K+xLu+W+m++WSGzZkXm09P8aevX4jMc4VqzsrJC/7bYLZPcDTdVwfnuO7ueA/Ctt5fKX//6ULuZamhN/Z2rKN+xXHLxRXLaqd/C30lAcnNyOn3ddOz77NNPSnx8nKmeMnmSfPrx++bfUsuWLzei5uwov09trHP5dNnyjsPt0nMV6J568jG8j7YinLG+X8T+e9F/H3bM7/fH+/4U022ozsItm9aZXIVut/Xv6GiL05Cwr7/+RuhSKXKMDhs6NHRuH4xHiOEVX+N9HOFcs7OzOxWM7T49sV+1apV89dXXMmbM6KjDXXD+eSYUrV7sjF/UzqwkARIgARIgARIgARIgARIgARIgARLocQJ4ktzjY7Yb8PU33o7IaagN3nxzqRx11OHI9XeMzJ+/n+nz8COPm4dRj/7tzybnobot7NyAKakp7cbt6sn1110pCw472Dwo37x5s+mm37DuaklMTDRNV0Lo1PLpp9YDqvT0dHNu/7AfWldUVpkqO+TTJZdeKXfcdqsMGjRQrrj8UoSR+7accurZMZ0k9njckwAJkEBPEYD3Dm/1EPYgDGouQxUHNRSpCoRGPIRwqOFJzTnCAgZUMMTmgDgQ706FG68YgloenNZbxNcSKRrqPO2HvfZ7YU/NveM49n3s+vD76TU9dyKHY3x8CsJPal41iKVYuxOiaRJyFSbEpUhmWgFCsPqwXh/Wjz3Wqmt2AIMToqEz+OBfx9P/YXG7VDX80WVXwF1/mMnXa6+zO/srrry6O91Mn2jCUMfB7rr7DxGhUju22dXn7yL8Y6zwriocDhgwYFdPaa+7n4qDp552RtR5V1RWSl5ubtRrubk5Ues7q9TQo6NHj2rXRP/u1GmnW2dFBWIVDveE0pmoZ8/v/86/0D4M7e/5wx+N2DoCubGjFWXR2dj6fnf2uee366pcoomG2ihWmOF2A/TCyaU/vExe7sRBqOtkIQESIAESIAESIAESIAESIAESIAES2DMIOMMfuO7KKT348GPmdioYDhlcJOrI0zChZ515qhEMt2wpkYMPPVruu++vpl2seba2Wg+wC4IuwoyMNjFP61Qw1G+AH3X0iXLq6eeasdRpo8Xr1fxcIolJljBoTjr8qK2rMzWzgjliDjl4vjnXb3J3pZiHb7jvWWdfiLxgNcb1uPDIw7rSlW1IgARIoEcIqPsnAMVQH7CrQKbioC0YGuEsKJ4ZAU0diLoF2wSwFwiNbrgONczp9sruevir97XyGQbg+HFLUkqGxCdlGMehXgtADNS3fv0sUQ66b/tc0QfWKjiqdoq147oPiR/N54t5lr1rH2jX4XPn/Au+t1OCyPP/+Kc89/w/t/fr6vb1TZs2yy9vuqXb/Xur43PP/cP8e6K3xt/Xx33vvfdl2ozZUXNI69p/89vf9ygCdZl1p+jf8Hnnf7c7XXdLn8efeBJ5rj+Neu9FxyxGztjGqNe2V3nb7XfKO++8267ZDTf+LOy9rd2l3XaybPlnMde/2ybFG5MACZAACZAACZAACZAACZAACZAACUQlAENF7z4MnTljmtx/352h7YLzzzYTUVGwEq684cOGmpBO6kjUsm1bhdlrCLbLfnSx/OiHF5lz+4f20XLIIQea/dq1683+nrt+K488dL8ZTyt0XY2NTebBiR6ff9535O/P/M20tX+88aZ1z+Lhw+WqK38oU6dMsi+F9m+8brW5+aYbkAvoV/L9iy4w116KEc401BEHmovxlSV/N2uff8D+llsF9SUlpeHNeEwCJEACvUrA5/Mih2GreT9UUcyEKIXTsJ3jMFxIVPedObfceBqu1OWK75JoqAvpzc+VNqHPEgDt+9lhRVX4i0M+w5TULEmIT8ac4+AgRDhFhGJVVdASTjWPY6t48aUTj9cjLZ4W4/7WY4/XC8FE983YN2uX3VI0ROnM2fvJ+vUbduj+Xsz/kh/8yIiOO9RxBxqvXbdO9j/goB3oseuaGjHp/y4wr/Xt3XXVqtXdFmu2N/bedl2/1HT5FVfJsYtPlKamppjT15ClGmpye0V/Dx3FrGh9Zsyau8MhdHXsiy7+gWjYy91ZXnxpSZdeZ089/Yz84NLLYk5Vw4tOnzlHVq9ZE7NNxwvK4Mqrr5Vbbv11x0vmPeO++/8cUR+t4pVXXo1W3St1R0Mc1bC3XSlffPFlV5qxDQmQAAmQAAmQAAmQAAmQAAmQAAmQQC8QcMKA0qslLS3V5PfTHH+6zZo1PXS/1/7zeuj4kb89YY5ffOllk28wPT1NFh+3CA8/Nlptgk9u//nPl8wDbx0rLy9XHka/5uZmczxoUKF8/HHbN7lNPqe33zWi5OLFR5sQT/pA1S7qAvzgw49N5LlFRx0hmkOxY/nVb27HQw5rDFtU/Mc/XpQHH3qsY9OIcw1tuhniqM71nLO/LakpKbJ06Xvy/gcfRbRlBQmQAAn0FgF1zfmNaGgJhioami0YotRv9paIaMRCiIbGdajCIR5Oq2gY506C2zChy2E6e1M4jM5JnYbWZvIZpmaLyw3BEA5D4yLET+MuxFpsF2ErQmB7IRh6Pc0QDSESGvFQBcQW5P1qMnXq0uzyoqNPrNu1GzduMsLhHXfevV1xSz/bPv/8C5k8dYY88eRT3b7n72+7I6Z4ofd46KFHZO5+8zsVlrpy88oq6wtAXWm7o200j6O6t/TfANGKhj5XsWW/eQcaZtHa7Al19pekenouKpjX19fLli1bRB2phy44UkaOHi8PPdz+i1Wx7nvwoYfL008/G+syxLzVRgRTt+z2Snl5hZxw4ilmDl9//Y0R8zvro7n7JkyaKs8++1xnzXbqWk2tFWFie4Po+g47fKH5Aly0tioGXnHVNfL9iy+Ndrldnf57VP+ubr7lV8i7aX15rl2D4Im+Hy+Fs3De/EMick6Gt7/+hp/KVVf/JCZPje5xyqnfljPOOnuXhRj2wdF+4knfMm7V8H+Lh89bXdann/EdOWLh0eHVPCYBEiABEiABEiABEiABEiABEiABEtiFBByz5xwYKOtiqM3weeXk9gs/7fHjAQMKRB8e1NXVR4yteYmKhw+Vr00+G0v1HDKkSNati+7I0BwuyQhBWrI1usNPhc3CwgGyYsUq84A84oao0PxOQ4cOlrVr15mH7dHaxKrT+Q4ePEhWr16zw31jjcl6EtgXCFSUdy3Mb8e1VlaVd6zieScETv3WrTJyLHK7uhLxJQu46Jp9EMggCHr9EMdUNENOPxUOISb44L5TgVECrQjt6YRY6BKHv0W+WvWKrN+wVLZVrDC5Di3HX+ffOgl3BXYyvR2+ZAuSOr4tFDqQs1DDkvr9XsnKHSKjxx8iM2edKOlp/cTnwZoQjtqPvQ8uwlaIX74Wj1mrujDVcak5DlUcVUOi2+mS2rqtsn7zp/LZiiUQ7Kpifjbs8OR3ooPmyp02barMmT1Lxo0bC3GhXD744EPj3lHRYUdKyeb15nOtY5/f/f52ufVXv5GCggI5etFCmT59GiIAbDOhBV944UW8Xjwdu+yx58pr1qyZMm///aS4eLh8BlH1HxDJdtS9uccucDdPLD8/Xw4+6ECZPGmicTK/iegNr/3nvzFDm3Z1upoD+pBDDpaZ06cbJ7A6Gz+H82w5Qlw2NDR0dZhd2k7nfOIJx8vYsWPMv/U0zOvrb7zZ7TmMHz9O5s6ZLaNGjRL9Et26devlf199JS+9uESa8Z7d1ZKCL6sdOP8AmTt3tvni3GeffS4vYAwVNHd3GTpkiBx55OEyZcpk87epQnRJScnunhbvTwIkQAIkQAIkQAIkQAIkQAIkQAJ9noBjDkTDrubnC6fV26Jh+L14TAIksG8SoGi4a36vixffIKPGHiLupExpafaarRWioa81IM1NLdLqQehSiIY+iIYqGPpNrthWcTkdRjR0OQOyueQTWbn2Ndm0Rd3Zmv8PQlsXrOo9LRxa924vVqqb0AmhT7/coab0wqLxMnXWYiketZ8kx2dIAOvzt2CDcOiDy6wVTkIfNj/EQyOUQjCEKoi1QzgM+MQBsamydrOs2/KpfLnmv3hIX7tHiIY9+WqJJRre/6cH5CfX3dCTt+JYJEACJEACJEACJEACJEACJEACJEACJEACJEACewkBp8BVwUICJEACJLDvEqivr4BbDk40VdQg9jnMXo+xqfSnAiBEMz0POQhNnZ3TUCQtqZ+kJOVKXFyiEQu1555S2pyHfrgj4yU1LUdy+g0xQqIJy4pwq+KFIAhRFPH6BPYla4No6ICQ6MS5A8dOXHOgrQNuRF9LA1yZKhZ6g0z2lNVyHiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiTQOwSc5plx74zNUUmABEiABPYAAlVVm5HfTUPBQhyEk06FQngFzV4FQz03W3CnOQD1fyogBhC6E90Q4jlb0lPzJSkpC221bF827GmXoblrhw8tWzDU+Wi+r8SkVMnILpCsvEHihGNQ3ZMBFQ3VPanOQgiCiMdqjvU8gE3PjWgIl6ULYzjQ1ttcj7x91Qhdqu7D7a/VIOEPEiABEiABEiABEiABEiABEiABEiABEiABEiABEtiLCTgRZY6FBEiABEhgHyZQWblRqmu2GPHLb0RDuOmcyNWKNUf7DNCPBWNDD6hwCDkOQprLmSBpKf0kK2Mw+rgsQdFoabE/RFTQaxP1LMDR6rqKvmNf61xDkloOSc1h169fseT1Hw7HYSImjvn7fRD+rLyFfoiHAc1tqCFYVQxUQVGFQ92jTvMaOtA+ANGwxVMvjc01lgOzqxNkOxIgARIgARIgARIgARIgARIgARIgARIgARIgARLYiwnQabgX//I4dRIgARLoCoHaunKprS2DEFanCqAR8lQsNBsceg5Hm/MwXAI0xyrImdClDklN7i+5mcMlIS4VoT/dYbcO7xVWHTy0xT7d2yX82K7ruA/vF9lex7JETQdyGTpdcQidmiT5hSOlf36xuPA/45bE3FUM1NyFmsPQEgrVfaj5DPXcqlNBUcVEH85bvS3SgvCkTcpLbZYsJEACJEACJEACJEACJEACJEACJEACJEACJEACJNAHCNBp2Ad+yVwiCZBA3ybQ1FgjdXVl0tBQoTIbBD91AEJyc+IYe9txGBISjbjnQL2V9tYPoVFDfyYlZElO5jDJSC+QeAh0YRogALcJgj1BO1IktEa1Q4W23VtFT4fExydIZlaB5A8YIdk5AyEZYu7Q+xw+DbEK96A6CYNCoXEcmrClEBKDoqFeV2HRh1ClTS1wGUIwbPE2ip+hSXvi18kxSIAESIAESIAESIAESIAESIAESIAESIAESIAE9gIC7i6kpYq6jFY8XHW7w50mUZuxkgRIgASiEtD3EJZdQ6ClpVHqa8qlpqpEkvKzjCvPiVyFfsQodeimTj24DQPYjHtPBUAIcUYG1PCkJvwnQpS6EiQVIUoL86ciHWCzeLxNuNZ9J164MGiLgUokvD4aofDrTsxdnZBx8UkypHiG5OUOkZSEVIiEmHcrJh8KSQpnIcKUWqFI4T5s1U3FRGzqRtSwpGYtfqlvqpQ65DNU0XBn1hdt7ntK3ZVXXSOJiQjh2qG8+dbbHWp4SgIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIk0FcIdFv1a25qlNS09L7CieskARLoYQL6HsKyawj4/V7jNNxWukpy84olES5BtZk74TRUx56Kg0YwtLRCPUNd6AIidDoQpBNhTWFLjI9LkQH9x0tjU4V4W5uktn6rad9TKwkXBLc3prZ1OF2SmZkvQ4ZNkakzFkl21iDjMNRQpJigJRqa0KMaftTaAhAP/f5gXkOIp3ZORCiHJkRpVV2p1DVWwGWIa9ubxF56/aGH/7aXzpzTJgESIAESIAESIAESIAESIAESIAESIAESIAES6C0CGpWuW6WlpVnq62qFbqFu4WMnEuizBPQ9Q9879D2EZdcQ0NCi9fUVUlryjTQ31UAw84WFKFXhzRgLLQHRCIeoM05Da68iov6n4zgdbslIGSAD+k2Q/rljELI0XVzt8ht2f01dEQzVGemEUGhvySlZUjR0kowZf7AMGIj5JKZhonBNeoKuQuMmhPhnQpTae4Qq1XClIXehJQ36IBK2+JqkurFM6luqjZjY/dWwJwmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAnsXQTceLTa7RnrQ38++O82PnYkARIggV1GoLGhRkrhNKyp2mJyEybEpRnhENE9g2IhBEKdjbEeImRpyGWnwiFCgAYgshnh0IHQ1PGSnzsOAqJLGluqpLJyrbQgB6BfY4J2o6jTL7ZgaGaFUfWzSt2RLjMfp8uFPIaJkp8/XEaPPUBGj5tnBE11EGrYUb8X4UbhNNT8hSqS6l7gKsQJBENrr87CAOasK9e7+NC3zlMtlU1l0uStNyvR+u5/Spoh+IMESIAESIAESIAESIAESIAESIAESIAESIAESIAE9goCiFBnP5DdK+bLSZIACZAACewgAX2fVzGtsaEabsOvpaFumxEHob9BhLM2lcbMx4HmNcSmfcynQ1AxMyE81cFnhDbkN3THSW7OMJk46hjsh0PAS46YVXieQr1ohwG19xEdwirC+2reQhUudY4qAPoQXjQB9yssHCtzDjhNho+aI+6EJF2BCS/qa9X8ha1oFxQMjVCoxxARVUCEUNhxDrper79FKpq2SoOnBqkQPYZB2JR4SAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAL7NIFu5zTcp6lwcSRAAiSwjxHQ0KItzfWyacNyycwYhJy0+QgrmiAuOPZcLjjukN8woK5DmPBULbRc6KoY2j47S7RTt6El6DkhFKZKbtZwKR4yTxIRFrS0HIJk/TY49izHYccvpei59rfHDBcGtTa82H11bwuGOi91N2bnDpJBRZNkxOg5MrBooiQnZ8ImCEHR4xFfi8fsNaehH05DH8LhqoComwlRqnMzi0CORr0hxtfih5NSxcKSGnVNNgbXr9ex2Qi0IQsJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJ7KME3NYD3H10dVwWCZAACZBAkEAAOWhbZCuchnn9R0pu3nDJyBgYFA0huLkC4lRHHkQySzDEsVHLLMXMCH46Ej40bJcesgtCOEySIQNnIJdgOtx/SbKl9EtpaKwUr7fJ0uaCrj7tr6FFrb4aFnT7SpwlHFqinsvllni4CVPScmXkyLlSPHo/GTpiusmnqOFGW+Eu9DW3iK+pGXsIhy04DwqHfhUOIRZ2zGGogqD6KXUqTd46qWoska21G8XjY75N/tmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAn0PQJu63Fs31s4V0wCJEACfY2AhhZtaKyRbWWrZFvuSjgOCyEaOpGj0AnREJ8GPqOiQUmzxEPlo9KeJfAZec0Y72DLs/IDonkAYqDblSCDCiZKXs5g6YeQpas3fCBlFWvE42lAiFC0DeY6dMAlaBn7/CZ0qDWu3sG6hyUSmtNgaFD9hAqYcKRJSRlSUDhKxow7CGLhTMnOGQgRMs64B42rEA5DXyNEQ3UatmCvwqGKhghRGoBoiHijEA2xLt3AwQiGGvYUiqEfW3lDiWypXifN3gbrujUN/iQBEiABEiABEiABEiABEiABEiABEiABEiABEiCBPkPAbT2u7TPr5UJJgARIoM8RUHHOFuRUMNtWtlrWp34sAwdNkriEDCMcxrkRrVpzAEI8DPgt951fcxiqjmiUPv20sEQ8HQ//wb2HHw4fQoZqXFOnJMaly8ABkyUtNU8qqzdIRe0GKdu2RuqQQ9HjqUcfK2ypjqMhRx3InWgLh9a+7Vej4ycmJkt6Rj/J6zcMguFIyS8YJf0KihFaNRd94VpUByFCkAZUMFSXIcRCdRjqFtB6iIbaJqChSZHP0BIvVTAM5m/E7Xzg0YS5ldVtloqGrRQM234FPCIBEiABEiABEiABEiABEiABEiABEiABEiABEuhjBOg07GO/cC6XBEigbxKwhUMVABsaKqSsdKWUbP1aCvLHSmJ8lgTwaeDzImcg9D+/ioRGLMQOexUO24qewJ1nch8iLyDEP/gGjWPPCddiWlKepCRmSXZmkeTCvZeVOUiqajZJXX25eJBTUd2HHuQMbPE0YQwIeRhLBUKdl27qHkxKSkHewiLJyRkER+EgyR8wQnJyBxsBMT4xxbTXkKNGDNQwpBAM/cZhiGMVDD0qGgY3bWdCk9ouQ9wM/+EMe+R59DUhJOl6OA23SL2n1ixT56NF185CAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAn2FAJyGwaejfWXFXCcJkAAJ9GECKvKpgKgi3soVb0hqSp4k5WaKC6KhwwUl0JgGLbehwwkRD239cOZZ4p69N4ohNDeMhVCmPlXZAuocdBnh0QXXYnpqvmRB8BtUNEWamqulpm6LVFatw7bBbBXlm6URoVL9CBuqRfMdqmiYnJQm+fnFMmvOyTJoyERJSoUT0h1vHIV+OAY15KhGFw2oKxJuQr+GIcXm83ggFiIEaVAw9OPcCIsqGGpeRROWVOdpuRvVJenze6WuqUpWb1suFfWlOFc3os7G/DDipM6JhQRIgARIgARIgARIgARIgARIgARIgARIgARIgAT6AgE3H4j2hV8z10gCJEACRi8z7jkVDZubamTjxmVw8w2VeHeiZGcUSVxcIsJ5NkPBU/EQDkITntRyAIbzU43QKGo+P/IBOkx4U0iLAk0PRUU2OA8dsC1CcHMgX2JKUhZCjaZLbnaReP3NUg+n49aS1bJ82T+MgKhCplWccBP2l4kTj0JI0uESH5eilkDMCQIhREKfFwIjFMMA5uXHsboKfSoSmnCkuJ9xF8JZqHu0h2qIveYw1GO7L9yR6O+GiFhRs1lWl38JwXCreOA4xODmf8HJGBHTPuaeBEiABEiABEiABEiABEiABEiABEiABEiABEiABPZ1AkhixUICJEACJNA3CKjLznIJ+qDw1SPX4Ib1HyEXYYokJ6RLnDNZ/HAJqvvPOPPgNHRobNKw+KRGMFRYatrT//kCyGmo2p7mQTSVwXvoVTUuunHdLW5XHETJBEnW+KcBN8ZfY5CrYOg0AqVf0tKy4TIcIUVFE+GAzEE92qnep25BO+SoOgxxTxUQ1V3ob7FEQoHrUEVDzcto8hgiLKkRClUs1FiqRjRELkPMyo9Baxu3yabqNdhWSqOnztSZCfEHCZAACZAACZAACZAACZAACZAACZAACZAACZAACfRRAm7zkLePLp7LJgESIIG+RkDf8y2HOYQ3JDEs2fqVcfSlp/aT/H5j4BpMQDhQCIcqvjl0AyETolMlQD0J7jGO/fnhhygHeRHioMO4EzVUqToCNW+gZjx0QrBzulwCDdAIgNWVpbJ50+fSghyHOhd7y80pkoGFEyQzMx9qo4qVeg8dCkIhREMjEkIMtETDVstl6LHEwoCKhhA7HWhrXIYQRQMabtQIhuo21DmiCeqavfWyoWa1bMRW2Vhm1mWWqEc4sNdl71HNQgIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAL7PAE8wtXHqCwkQAIkQAJ9h4AKfwKB0CVeT4tshXCozsKk6WmSmY4wpRANTc5ACG8OuPocTrjz/JaYZgmOyGWIEKSmQNVTEc8JoTAAoQ9n2PATeRCNxIhxAz6XBOJwHe2qajbKxg0fyJp176I7BD709yGEaEJCshQMGC2DBo3Dx1JQdNQwpBABHRAKfS1W3kLNU2hchhAJNTSpQDRUZ6GJjYpxnEGRUMVCP4RCy1kZnAvu1dhSK5uqVsmabZ9LZUMp5miJliGB0FYPsQYWEiABEiABEiABEiABEiABEiABEiABEiABEiABEuhLBNQYsk+XpKRESUlJ3qfXyMWRAAmQwI4QUIFMN81Z6IfzrqGxSkrLvpH/ffOqlJWv1HSGcAYibKjZ8CEBAVAVQOvzQsU0dSu23dGMZ8RBiIAY0z5Xt6LfixCiECb9RvRrkdLSlbJ5y5cQCltMOxXtNGzpwAHjpX/eCElKypFWFQQRftSESYV70GfO4TCEQOhDOFKTy7AZY2Lz6dh6D4Qm9bdiD/ekrsmnTkmIiKptOiB4SsAldRAMN1etkRVln0hN0zbx+T2Ws1CXousJW1Pb6nhEAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiTw/+zdB2BURbfA8bObJY3eewdBqoCCNEURRBFQbEiRjqKiItYnKqiIYMFeQYqNzy5WQFSsgIJI772FkgDpCcm+ObPsmoQkBEjZsP95L9nde+fOnfvbmPDds+cMAgggEBgCpjxp3lxo/Xp1pWvXy04Y/Mcff5a169afsD2vNtx11x02a+aJJ5/Oq1NkOW7ZsmUlISFeYmPjsuzDDgQQQKAgBDSwZ2p32lMfO5YqMbEHTfbfEnG5QqVIULBZX7CKKVOqGX8mS9D8n9MEDrW3Sd7zNBNg08Ch52/I8UChqWXqtmsWmi4meKidtbypZimmHEuUmMQDss8EDQ9F7TQd9GDz3Rkk4WElpUb186RsmZricoaaoGGSLXWqg9uMR/NaS5PabEMTQLQBQhMkdNtgoXfNQjMxLU2qg9pLM4FNc7wGJVPMY4wpSaoBw21Ra+VA9E4bsDx+JccfzHzsgfpSB6AhgAACCCCAAAIIIIAAAggggAACCCCAAAKBJWDKk+bNzdFy5ctJxYoVZO/efXJMS8cdb5r9kZ/tjz8WSUhwcH6e0neuW28ZKqtWr5Evv/zat40nCCCAgL8IeAKHOhu3+T2dJFGHd8qGjT+btQajpdV510twULgJvJk/E2a/lhD1BhlNbM6TlWczEDVgqF00XGeeaODQBgyP/20xsTgtaZqUFC1bdi6R/Qc2SGJi9PGkPrdZTzFEShavKNWrNZMS5tFEGE0GoAkImuCjwwQdU4+ZtQw1qzDRfGng0JQk1fUL3Wa7liX1rF+ogUNzPv2yzc7ElEzV105JOJYgu49skfURf5uA4TYbMLTXbuZl11M0vdJaeMbgOwIIIIAAAggggAACCCCAAAIIIIAAAgggEFgCeb6m4YezP5bDhw+nU61Ro7rExMRKZGSk3a4ZecWKFZXt23dIuXLlbFm5ZJNB0qRJY4mOjpF169Ydv2HtGUZv8p7bsIEUK15M1qxZa8fSPd5jExMTpHnzZrJ+/Uazf53JnAmyBzrNelu1a9WSzVu2Ss2aNWxQc8WKlSYbMFFKlSolDRrUl6VL/0kX5NQDS5QoIU2bNpZ9JgCqx3pbtWpV5dChQ6a0XrA0atRQVq1a7ZtLlSqVzfYiUrJkSalbp7bs3RchcXFxEmwCmC1aNPddl5YHpCGAAAL+IJBqAnbRMQdkx+7lGumTOjXaSOmStSTIBPbcTvPhD5N4aGp92lULzYPN4ku1gbnjszfPtTSobnKYXhr0c5jgnykWajIZD8jeA2slOu6gXWtQt2s/DRRWr9ZcioWWEZf5P4f5neg0Xw4dR0ueanBQg4SmNKktT2rKldpgoQkYOsxz88fBBhrt2oV6fntyh8lUdJp1FR1yJDFSdh/dKuv3LJGj8ft9wUH9O+JtnoChBj/5few14REBBBBAAAEEEEAAAQQQQAABBBBAAAEEAk9AU0jyvV19dQ8pbYJ0T096zgYI77j9Ftm//4C8/sbb0q/fjVK8WDEbcNOJ6Y3do9HR8uyzL9h5ahDuzlEj7X69wXvlFZfL1GkzZNeu3fZYvVFcqlRJe1yyKV/Xvn1bU560iDz73AtSo0YNGTiwvxw0gb5yJlCp7YpuXeXff1dKy5bn2dc63vQZ78q2bdvt6149r5JWrVrYm8k6l61bt9n9unP4sMESGRVlSuqVsX11rB8W/CS//vq73HrLMLutXt06ol/ffT/P3ExPtfPVR6e5YR5rgoiTJz9v+/ENAQQQKHgBtySbrLwjR/fJtu1/SXJSnFSt1FwqVWxkMgKLmkCcy5PMZ373ut0meGcyDTX2Zr9s2VJPlqEG8PTLYfqY0KD53ZcsyckJEpdwRJLMo93n8HyYw4T3TElSEy4MKiJB5ve3Jit6vsyAKSZQqYFBGyj0rFHo1uc201ADhiaQqH002Kf/b86pTYuSpphQ5ZGEQ7I7eovsPLxRImP3eAKaZr83XGhDhN5jdAwaAggggAACCCCAAAIIIIAAAggggAACCCAQwAIu783TvDIYPGiADQzq+Dt37pLPv5gj7777odx91+1y3XXX2Ow7DaC9/8H/fFNwuVzy8Sefy9q1a6WnCdq1OK+51KldS7aYgJ0G6jToNuWFV0yJuwS5446RcvHFHeX992fb40uXLiX/LP9XvvjiK3MD2W2DhhmzR/R8T096Vho3biQ9rrrSZhG+8eZUM16SDUie36qlDRo2anSuDRguWrREvv1urrRt28YGGUNCQkzfRHu+kiYLUYOWBw8ektF332HnqkHDRx97QsaPGyvL/lnuK096/333yJEjR+X5KS9JeHiYVKta1XfNPEEAAQT8QUB/XyYnx0ukKVUaE3fIZB4eslHBcmXqSHhIKZO5XcQG3Y6ZbEDNlNaMQV070HyzwTstDGo2e57bTZ5SoaajBLvCJMhZ5HigT6/WLYlJMXI4OsKUL40Vd2hxcQYFecYzv+dNnVKTVaiPGiA0z71fxwOJqWZ7iglMOsyaiTY4qasumiBgUkqSxCYdlR1HNsjOqPVyKGa3/Xug0/I2zxTtd+8mHhFAAAEEEEAAAQQQQAABBBBAAAEEEEAAgYAWMHd78/b64+PjTUZdrP2KM8+1RZnsvMWL/5IG59SX80wZ0UWLTdm4o0d9E9GSpFrqU9fQmjPna3uzt0WL82yZ0RIlisu+iAiTNVhN6tevZ8eqZUqNeluCCeZ9/vkce4x3W8bH77+fb4KV8aYU6TK7a+3a9bJnz15bajQ21mTWVKtitzdv3tSOs9vs0+d6jN5QP//8lr4htfzpjh07bfBT12/ULMesWmRUpClXWkJ69+5lMyE3bNyUVVe2I4AAAvkioBnUni/z58AE9vRLP1ihj5oduCdijSxZPls2bP5Zoo7uMrE/hw0cBruCTRa3ywQBta+mG3qma3abjERPeVAdR39nOk1WYXhISalYup4UDS1lO2ooUffFxEaZtW/XmxLO68zfiSiNI2rY0X44RIOCWoo01QQJU0wQUf8maODQHGiDgxogDHKb85v+KZoxaP4/3gQf9x7eIit2L5QNZg3DyJi9tq+GB3WK+uU5t+msJ6MhgAACCCCAAAIIIIAAAggggAACCCCAAAIIWAGX3rTNyzb7f5+csKahnu9vs3bghRe2tjebFy78Ncsp6E1izSwsX6GcWYOwou2nGXqVjj/XDcmmVJ23JZr1CXPaNEsm4/VrSdMgp6dsnpYw1ZvhV3Xv5hsyKSnJrkvo25DmiQYs7c3zNNvSPp0x4z254YZrpXmzpvbrr7+WytfffJe2C88RQACBfBXQ34EZf2/pnwXdpl8pKYnmQx17Zcv2RXIkeq+UK11bypl1DouHVZAQV7jpY6ZrgoM2/uYwGYEmLGcDc3q8CejpDh0nNLiY1Kp0niSZ8qfJqYkSGx9p+jnN+ElyJGafrNnwkwSZEqW1arQwpVCD7XA6N/s7+vijBhM9pU89f7e0HLWOr+sYJhyLlai4/RJxdLvsj91lnkdIYoopharHHJ+T6Wyen/h7X7fTEEAAAQQQQAABBBBAAAEEEEAAAQQQQACBQBdwZbxZnF8gunZhTGyshIeFyU033SDTps3M9NQaKAwy5er27N5rslH22hvIW816g7NmvZ9p/9zcuG9fhJQvX05eePEV0QzE02mem9qeI4+ZjJkPTBnWIkWKmLUV+0nr1ufLTz8vPO2xT2c+HIMAAghkFPAEDnWrhvvSNI0ImoCcBvYORW2X6Nj9cihyqxwuU1/KlaotJYpVlLAiJU3GYZi4HEVsRqGWK9UMQIdbQ4IasNMApJj9oeaYWhJ3LFqSUuNlx77lNgCYasqLJibGyo7dK6RE8QpSrFhpqVLpHN8kvDPyPB5/ZYKFZngbfEwwpVRjEg/L4fgDciB6h+wzX0cTokxmYrKJZZpSpzqS+WYuwzTzzRNv1Bc0BBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAgTQCrry+gVq3bm2JiYn1nTIiYr9ZS/BcKV2qlMyY8a7Uql1LOpk1CXV9wdWr19h+xYsXsyVAdZ3Aa3tfbbfp2oCaGbj/wAGpW6e2dLnsUvnFrB3YoEF9SYhPkLwo9fm3KV/atGljGTJkoCmT+o0thdqm9QUy/4cffdeT3ZNEk5VYu3YtKVo03HYb0L+v/Pb7n7Ju3Tq7tqFU15vp9pZ2dsOwDwEEEMhzgcwCh25dV9A0b9lSzTqMOrJLDkZul6JhZaRsqRpSuXwDKV28ppQIL2/XPHSYUqROE9FzmD8uTs00dJgAovk9p1+pJthXrWJju25hVMwuiU84YkugpqQeM8+jZfuu5RIWWkwqV6hvA316XreWPzU1T23ZVF25UDPBg9wmY/GYHE2KlH1HtsluU470gBkvITnaljG12Ylm3t5HvQbNUKQhgAACCCCAAAIIIIAAAggggAACCCCAAAIIZC3gyqukC+/N2l49r0p39vUbNkq9unVk565dsmXrNvvVqmUL6X1NT1mzZq2vb4+rrrQ3mXWcufN+kF27dtt9b731jowcOVw6dmxvv3T/4iV/5WrQ0Dv3rWZ+33z7vXS7vIsMNYFDbfEJCfLHn4tylB241JRgbde2jTxw/xhZba5N1/e64fredhz99u+/K9MFVH07eIIAAggUgID+7vN8jsGE/Ozz/z7U4CkL6nntNEG8xKQYORC5RY7G7JdiYaulWHg5KR5uMgXDypqAYmkTQCwhoa6iJguxiCn57LJZf7rWYRFHiAk2VpNm9a+QNZt+kEPJO82VeoKK0TEHZceuFWbt14pSpUIDKR5c2oQJ9ZwOSTZlTWPiD5sM9Ug5ajIeo2L3SpRZrzA6Pkpik45K4jHPmrmecKXnL5vTXIM+8+Q7FgAop0QAAQQQQAABBBBAAAEEEEAAAQQQQAABBAqRgKNt207uiP37/WbKd911u7iCXKYk6Mt2DcO9e/elyxbxTjQ4OFjKli0j+83cdd3DvG7lypWTpCRd2yv6lE4VHh4mpUxWpfc6XC6XVKhQ3s772DFd/4uGAAKnKhAZdfBUD6H/KQh4MqA9AcJss6FNRE73u1yhZh3CMAktUlxCTbBQg4ZhISUlzKxjqMHDsBCz3TwPCS4qLvO7Wz9AkWzKh/6zdo4pU7rCBAIPmWxCXZ/QYftWrFhXmta/1KydWE3E/J6MOXpIoo7uk8NHI0yJ1EMSk3BYYhOjJC7RZCoeSzRrGupahybgacawH/owz7VpAFHrkRI0tBx8QwABBBBAAAEEEEAAAQQQQAABBBBAAAEEshVw2Xuq2XYpmJ0aCNyzZ2+WJ08ypT81EJdf7eDB0wtSxMXFi355m65rmN11efvxiAACCBSUQHYZh3ZOGpMz8TgNGOqXli2NNZl+0bEH7G5XUIjJMAw167eGSMmilaRU0Ypm/cMKUsqsgVi0aBkpGl7GrF9YUSqUrStHYiIkNi7SDKcBv1SJNZmD23f8I+VLmfrNKcckJTlZ9kZskn0mqzHyyB5JMBmOqeb/tHmCgvap/eYrQeqJd5pw4X/BQxtM/K8rzxBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQyCLiOJ2Rk2FxwL1NSUuxN6IKbAWdGAAEEEPAE2TxBt0z/Tnh2ZQp1zAQR9Ss+UWz5Ui1AevL2X+b1MRMsXPTPZyc9xBsU9HXMZk6+PjxBAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQyFTA0badKU8a4T/lSTOdJRsRQACBNAKUJ02DwVMEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBHJBwJlpBkkuDMwQCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCBQOAScZjkqGgIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIBLCAU1gDKoDffi4dAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAREnCAgggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgggENgCBA0D+/3n6hFAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBAQp5v6pPwYIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIBDQAk6HwxHQAFw8AggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAoEuQHnSQP8J4PoRQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQCXsDpdge8AQAIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIBLSAk+KkAf3+c/EIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIiJNEQ34KEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEAhsATINA/v95+oRQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQ0ExDcg35OUAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAgkAWcDgerGgbyDwDXjgACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggIATAgQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQCGwBp9tNedLA/hHg6hFAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBAJdwGQaUp400H8IuH4EEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAIHAFjBrGgY2AFePAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAQKALmPKkgU7A9SOAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCAQ2AKmPClRw8D+EeDqEUAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEAl2ANQ0D/SeA60cAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEAh4AVeDBvWlfPlyAQ8BAAIIFB6BX3/7pfBMlpkigAACCCCAAAIIIIAAAggggAACCCCAAAIIIFAIBFwb1m+UiP37C8FUmSICCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCOSFgFMceTEsYyKAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAQGERcLrd7sIyV+aJAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAJ5IOB0OEg1zANXhkQAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEECg0Ag4hUTDQvNmMVEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEE8kLARcwwL1gZEwEEEEAAgcIpoBUIQkPCpEiRYAkKChIqEhTO95FZI4AAAggggAACCCCAAAIIIIAAAgUtoMvjpaSkSHJykiQkxgvL5RX0O3Ly87soTnpyJHoggAACCCAQCALBJlAYHl5MnE5nIFwu14gAAggggAACCCCAAAIIIIAAAgggkIcC+mF0l8tlv0JCQiUuLkaSTACR5r8CTiFq6L/vDjNDAAEEEEAgnwQ0YFisWAkChvnkzWkQQAABBBBAAAEEEEAAAQQQQACBQBLQD6nrvSe9B0XzXwGnyQ6lIYAAAggggEAAC+invjTDkIYAAggggAACCCCAAAIIIIAAAggggEBeCug9KJbDyUvhMxvbae4T0hBAAAEEEEAggAV0DUNKkgbwDwCXjgACCCCAAAIIIIAAAggggAACCOSTgN6D0ntRNP8UINPQP98XZoUAAggggEC+CRShLES+WXMiBBBAAAEEEEAAAQQQQAABBBBAINAFuBflvz8BZBr673vDzBBAAAEEEMgXgaCgoHw5DydBAAEEEEAAAQQQQAABBBBAAAEEEECAe1H++zPgFNY09N93h5khgAACCCCQDwLUkc8HZE6BAAIIIIAAAggggAACCCCAAAIIIGAFuBflvz8ITv+dGjNDAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAIH8ECBomB/KnAMBBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABPxZwuqlP6sdvD1NDAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAIO8FnNSOzXtkzoAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIICAPwu4/HlyzA0BBBBAAAEECrdA5cqVpGLFCqd9Eampblm/fr0kJiad9hgciAACCCCAAAIIIIAAAggggAACCCCAAAInF3C53SfvRA8EEEAAAQQQQOBUBGpUryaPPPKQtG/fVs60qsGRI0fkgw8/kpdeeu1UppBnfc87r5kEOYNk6bJ/8uwcORm4Ro3qUr9+PVmw4KecdKcPAggggAACCCCAAAIIIIAAAggggAAC2Qq4HNnuPrOd557bUJo0aSxBQUE5HiglJUVWrVota9euy/ExWXXUG5WXdLpInpwwKasuub69RIkS4nIFSWRkVK6Pnd2ABXXe7OaUcV+1alVl374IOXbsWMZdvEYAAQQQOMsEhg0bLGXKlJaeva6XAwcOntHVdezYTp6Z/JTMn/9jrvz7ILPJlC1bVho3PlcamX+71KxZQ7Zt2y5r1qyV5f+ukOjomHSHjBg+REJCQmTosJHptuf3i0sv7SRj7rlTmja7IL9PzfkQQAABBBBAAAEEEEAAAQQQQAABBM5CAVdeJhpqwPC33/44pZuF5cuXkw4d2uX4pqD2nzxpgtQ/p57ExsTKzwt/lUmTnpPU1FTp2qWzXH9973wNGs6bO8feSGzRsm2e/bgUK1ZUqlatYsq1bfSdIz/O6zvZaTwpVaqkzJ/3tSxfvkJu6jvwNEbwHJLZtZ/2YByIAAIIIJBnAj16XGn/Hu/du080yBYaGpLluQ6bTMI335xm/3Zn1unrr7+TYUMHS4+rrszxvw8yGyezbUWKFJGRI4fbOeqHnGJjY2Xr1u02Q1L/jXHw4CEZc++DsmTJ35kdzjYEEEAAAQQQQAABBBBAAAEEEEAAAQTOGoE8zTTUm2+nml2g/XOameh0OmXe3K9Eb/j9++9KCQsLlZsH9JUqZv2kUXeOKZA3afr0d6Vo0aJ5eu4brr9Wxoy5Sxo3aeU7T36c13ey03hy+PAR+fbbuSZLZMFpHP3fIZld+397eYYAAggg4C8CoaGhEp+QICVLlpA2bS6Q4OAiWU5NM/lmznxf4uLisuyTYMYKCw/Lcv/p7NASqq+8MsWW+Jz17gfy0f8+ka0mw1A/eKStVauW8vD/3SfvTHtTxj8+QT7++LPTOQ3HIIAAAggggAACCCCAAAIIIIAAAgggUCgETKZhXuYa5q3BxRd3NJkLofLssy/ItHdm2pM1adJIdu/ek+7EGlz09v3uu7kn7OvYsb1UrlRRvv7mO4kx2YradI0gp9Phy+bT0poVK1TwrV+k5UC1jNlffy1NV25z/g8LzI1RTzZFUJBTWre+QP78c7Ht27x5M/nkk88lKSnJNwedW6tWLUwZ10by6adfytGjR3379ElwcLB06XKpFC9WTL6fO9/MySlNmja260O1bdvGZleuWLlKvOd1uVxywQWtZPXqtenGurBNa3MjdJtEROy34+v5Wl9wviz85TfZvHlLunPqCy0pV9kEXzdt2iyXd+0i4eZGrZ5fg39p92u2Y69eV8muXbtl8eK/7Pwy89RjZs56Xw4dOmSP936rVLGiXHnl5bJ23Xrr5N2uj6VLlzL7uskhk+Xxg1mvqUSJ4pleu/bV9aXU96efFsqOHTt1Ew0BBBBAwA8E9uzZK31uutkPZpJ+Cvr3dOLEJ6RKlcpy68g7ZaGpVJCxLV26zGbH33H7rWf8oZeMY/MaAQQQQAABBBBAAAEEEEAAAQQQQAABfxNwtG3Xye0NJOX25Pr0ucEGyU513Ouuu0Zmz/7opIc1bNhAPv9stg3kDRw4TFJSPJkB3gPHjxsrN9xwrRwxZc9KlixpN+vzC9t2ss81EPjVnE9s4NF7zKOPPWEzCXRcXdOoZat2dte333wutWvXkg4dL7OBr4cffkD69b3RrCN0frrzzv3eU5600yWX2+DdrJlTZePGTTYIqQPpmo3X39DfllfToON7775jz69ZDQ6HQ2bMeE8mP/O8dpVLLrlYXnn5eRuIc7vdNvPht9//lIsv6mD367fo6Ghp3eYi8Z63R89rZfGiX+T77+fJPWMetP10bcepb78mo0ffb4OLc778VOrUqWXH05umL7zwirz51jTfmPpE7fR90PUHNZNT55acnCxXX3ODbNmyze7v2bO7JCQkipYe/dWUoX388aey9NQxV63825z/RzsPff3E44/ac+i16zw06Dho8AjdJQ89dJ/NGtXr1nPv27fPrHW5Ri677FK7X795r/3XX36QcuXK2mCsBll1Hh/O/tjXjydnn0Bk1Jmtj3b2iXBFCJyZQJnS5c5sgEyOXrvmH9kXESHRR6Mz2Xvqm6pXry5ffPmVjB8/4dQPzuQIrUygf2ueNiXNZ858L5MeWW967dUX/GJNw0GDBrCmYdZvE3sQQAABBBBAAAEEEEAAAQQQQMCPBbjH659vjss/p5WzWa0z2Wm6xlDr1ufLP8sWyXffzZMJT01Ol2GnIy1e/Lfcd///ye233SIjRgyxWWm6tt4H78+wpVDvuGO0rN+wUaa/Y8qPmWDZLyb7ToNbo+4YabPtdD0mDSBqAKt3757y9tvTpV3bC0W3ZwxU6vnc7vTBy/DwcBtsrFChvHz26YdyvQnGPf7ERBNM3CzffPO9TJr8nAmAxcgnH39g12DUoKFmUGrAMCoqSq7s3tsE5xLk6qt7yEcffSrPP/e0XH55l3TlSb3n1XE0O/CiNIHFgQP724CfZgo+9+zTNmA4bPhtsmjRYhNMfF10f8agoY6ngbzZplTbxInPyLXXXm2DfEMGD5Sxj4zX3XaO+/ZFSNfLr7Lz/2Xh/Cw9Mwamu3btbAOG7773oTxl3rObb+4nDz14r+jlV04OAABAAElEQVSahe3aXWgDhroe5q0jR5n3oLI0OKe+LPjx5xOuvWeP7jZgOGLE7TZw2c24/PTzQjs/viGAAAIIFKyA/q1ds2ZtrkziJvNBpNxst9463H4I5j3zd+hMmn5YRSsGhJm/21radOvWbdkOV7ZMGWnUqKHExSfYDxBlV5JVB9LMf61+oB/gWbFi1Qn/xsnsZCEhwfbDUinHUuRQZGRmXdiGAAIIIIAAAggggAACCCCAAAIIIIDACQIuDYQV5jZw0HDRjLfRd99hH7t372bXM9Qyldr0+u66+177fPqMWTZoeEmni81NzHVSvnw5+d1k7mkwStvkZ6bISy8+awNyum6RBg2vuaanvUmn2W4apOzSpbMNGtasWV0+/3yOPe5k3zTopmU59Ss2NtYGLfUYLVOqAbjqZk2lUaNuEw0qatBMS59edFF7G7R78KFHfTcINWCYk/bBB/+Txx572JZE1TKlWoZ0kcni09amzfkmEHlY9KZl9yuvMOVXN8iFF7a2FhnXn1Q7nbu2Tz/9Qu6683Yb0LMbjn+72WR4aqBSb5pm5znLlCZN2zTYp+OvWrVa9Pnhw4fta12zsGXL82wW5C23jrKPWvpUvzJry/9dYTdPmDDeBh81MEpDAAEEEPAPgZ9//kW+/PJr0cz+EPN34nTa/gMHbWZ550svOZ3DMz2mUqVKtgT2Z599YSsAZNopBxs7d77EfqBG/3ZrUE/bggU/mQ8qPSzx8fHpRtCM+CefeMyWS9eqA/rBHP07OMNkOb7wwiv2wz1pD9Dy3ePHj7UfAtJ+3qz8OXO+kXHjJ9gPE6Xt732upb21ukDt2rXsv4f03zk0BBBAAAEEEEAAAQQQQAABBBBAAAEEciJgMg0dOenn1330Bpp+dezQTl41JcMmPf2ELdmZcdLe9fj0xl7DBufY3UuX/uPr9uuvv9vnWjZUg1y6vqCuhVirVk27TqKu/zdk8M026BcUFCSff5GzoKHvBOZJQmKizcbTbXqTcc6Xn0jFihVs1qEGzjTwFh4WZtfn0z4a1DvV9vEnn8nYsQ/K0CED5dPPvjQl1ILlzTc95Ue1TKveqHz00Yd8w2ogs7K5gZoxaOjrcPxJZGSUtfBu15uY3mNO5uk9xvtYq3YtW3b00Uf+m4dmW2hWpu5LNE56g/RkTdcvvPOue0XHmTJlsjxqAqJ9+w2SbSbbg4YAAgggUPAC9erVtaWrT3cm68zfwWuuufF0D8/0uHPPbWC3bzSZ+afb6tatI09NGCfjxk2QefN/MNn3YdK37w1yz+g77d/fV159wzd08eLF5dNPPrTrJmumv66HrH+L9QNCjz76f3ZdZW9JcT1Isws/M2XSE5MS5bbb77ZVFfRvYseO7Wzgcfv2HfL6G2/7xvc+0X9DvDPtDZOBX86U+77FfOhppXcXjwgggAACCCCAAAIIIIAAAggggAACCJxUwOVwnLSP33bQEp76iXotE6pN19XTde+aN2960jmvXrPGfsK/gwk0em+8db+ymz1OS55qW7ZsucnMu0AqVqggGlDUbLtbbxkmw4cPsWv96f4zaROfetyWP+3Xf7A9lwYk77tvtB3yr7/+lv79+tg1GV999c10pzGxOhtwS7cxzQstmapz02sLDgmx2Y1Lly6zPQ4dijQ3NkN86zqmOeykT3UdRK91xs458Ux7zPp1G6RundqmtGkP0WBk2lanbm27TzMwd+7clXaXec9OvPb58xeIfmnQ+I03XpZxJsvSuzZiuoN5gQACCCCQ7wKbN2+RXlffYDLSPZl4pzqBjOWtT/X4zPpXMh/W0bZ//4HMdudom37gR9cK9ma46wdwtHx5v759pHPnTpI2aHj/8b/tA24eku5v3rx5CyQ+Ll7eeutVef+Dj8T7t/qBB8bYD9HccGP/dJn22n/p3/9kWnK0cuVKMmP6W+bvfrD0N/+u2Lxla46ug04IIIAAAggggAACCCCAAAIIIIAAAgh4BZwahCms7Y3XX5If5n8j9993jzRr1lRuGTHUBgyzKmWZ9jo1sKZr/513XjObFaBr7N1//2hbpmzevB9s1zlffSthJutPy4Z+8cVX9sadZsNd0uki2bz5zG/GJScn28DlkSNH7TyGDB3om+LChb/awOSwoYOknwkeakbDtKmvS/HixeRfU5JTy6Xq+n160zKzNnXaDNO3uFzUsb38eLxUq/b7/vt5dp2jF154RqpWrWLdbh7QN7Mh7DnGPvyAPbdmLmiG5rffzc20b0480x740ceeUqvvznrHrAXV0l6HZmdo+8xkR2rTm59t27ax2Z46X20Zr13nrtmlml2x05Qw1UwMtaEhgAACCBS8gK5R26/vjaZMdis5r3mz0/q6vOtl9kM0Wt4zt9omE8jUppUETrclJSXJDwt+OuFwLZtdtWpV33b797pbV9Gy5xk/JKOd9ANPMTGxNotQX2v/Lpddasq6ev7dodvStszWKKxRo7q8/950+2+Yvn0HETBMC8ZzBBBAAAEEEEAAAQQQQAABBBBAAIEcC5jypO4cd/a3jmPufcgG0gYN6i+DBw+w09NymQMHDs/RVPvcNFA+N+W/hg8fbPsnJCTIwEEj7Bp9umHevPkmqDfRBqKWLvOUMdVMxtatzzeBuJ/tMWfybYpZw+iSSy6Wr7/61AYPV6xYZdcaTElNMeU5k6Rf/yEmcPamaOBO25EjR0wAs4J88eXXMnLkCFuOU0uENmrc8oRp/PLLb3a9I83G9JYm1U5PT3pOKplshK5mbUa9Eatt7dp1MuvdD+zzjN969+5lg5Z6nl9MtuWLL76asYvv9ck8fR3Nk8VmjcUnJ0ySB+6/R95711M6NTo62qzt9K78Zm6gPvf8S3L3XbfbMmt63IYNG01ZV+cJ165rLnZo31Z+WehZy1CDuo8/MTHtqXiOAAIIIFBAAh3at5OWLc7LlbPrh0Nyq60z2e7azjmn/mkPuWHDJvvhnowDrFu7Xi6+qKNvs35AR8uRX3fdNWbNZM/fXd/O40+0jHid2rXsK13/UT+wpOso56RpkPFts4ahfsDpyu7XZFkRICdj0QcBBBBAAAEEEEAAAQQQQAABBBBAILAFHBe27eTev39/nij06XODfPLJ56c8tt5Ymz37oxwfp+sCNTBrFO7cudN+Wj/HBx7vWKpUSXNDr1i6EmCnOsaZ9G/QoL7NXDx27Fimw+gNR70pmDGD8txzG8rBgwd96wpmenAWG9VM13TSdZE0wyFjGz9urFx/fW8bkGzYsIHo2oEakMtJy8pz9aqlMtdkcd5zjycI6h1Ly57GxsZJZiXo6tevZ7fr+pJpW8Zr15usapSxnGnaY3h+9ghERh08ey6GK0HADwTKlM69gJz3ctau+UcefOgRkzH3tXfTGT3O/nCWrDWBtPHjJ5zRON6Dv5rjWVO42xW9Ms0A9PbL7PE1k+EeYsp/Dx028oTdQ4cOkjtuv1VatLzQ7qtUsaL89NP3Mvt/n8gS84GZrNp+86EnLU+qZUZ/XPCdPPXUZHn3vQ+z6m63Dxo0QMbcc6foOolvvP6ybNy0SYYOHWk+/BSd7XHsRAABBBBAAAEEEEAAAQQQQAABBApagHu8Bf0OZH5+k2mYdy0lJcWWjdTsv5w2zSTQ406laUlKzZY73Xb48BHRr4Jq69dvzPbUu3fvyXT/mVyzmq1evTbTcTNuzGm2g/e4jJ4aRGzapLFooHL5P/96u/ket2zZ5nue8cnGjZsybrKvM157xoBqpgexEQEEEEAg3wU0A+7piU/YtfZycvI//1xsyk6/mZOuZ9TniSeftmWwtTT22EfGZzuW/h1LSEi0GfzZdsxk576ICImKOiyuoCD5zpQIP1nTtYP1wzyNGzc6WVfffs3ev+32u+T1116yFQqGmMChViegIYAAAggggAACCCCAAAIIIIAAAgggcCoCrrxc/W3VqtXSoUM7U1YyKMdz0oChHkcrWAHveou5MYs333jZrp148OAhmfPVN7kxJGMggAACCPi5gJbZ1mw8fdyyZasEBwfnaMZ79+zLtJ+W8Ew0ZcRzqy1Z8rfN/rupz/VmjokyafLzousUZmzh4eE2iy8sLFSuu76f6N/HU21adUHLqH84+2NZsyb9B3Zq164lvXpdJS+//LrvQ1O6nmEfM6/pM2ZJxg8WaXb+tm07bOn0tPPQYOvtd9wtr77ygg0cDh5yS4F+ICrt3HiOAAIIIIAAAggggAACCCCAAAIIIFA4BFySh1FDzQbLmBFWOFiYpa43qF+50XSdyHLlyp5QXjU3xmYMBBBAAAH/FJg7d75ce+3VssgEsyY/MyXdJHWd3MyCb5qR7nK50gUYTeVps3ZtO1uG/LFxuVOa1DuZyZOfs/Po36+PtGrV0qyb+5WsXLlaNm3aLCVKFJe2bdvILSOG2qoJ//fwY5nO2TtWdo+vvvaGdOrUUWbOeFteePEV+dWsO1zEBFHbt7tQRowYIrv37JVZs973lUnVPhdf3FHenfWOPP/8i7LIZBLqh6o6mW1jxtwt06bNkJdfef2EU/7++58yatRoeeWVKSZw+LYMGXqLb8wTOrMBAQQQQAABBBBAAAEEEEAAAQQQQACBDAIuvXFHQyAvBRJMZgjlQ/NSmLERQAAB/xOYPn2WPPfcJJk796tMJ7d02T8yevT9vnV5e/boLg88MEbKlCl9Qn/NVtQ1AVesWHnCvjPZoCVHJ058RubN/UHuf+Aeuz6gBi29TUt52wy+2++Wdes3eDef8qPO/4YbzfqDY+6Se83X2Ic9a/tGR8fI96Zk6YSnJtmMTO/AWp6097V95P777pEHH7zPZGx6sjRjY2Nl5sz35LXXsy7f+utvf8idd90rL7/0nA1SDhp8ixw6dMg7NI8IIIAAAggggAACCCCAAAIIIIAAAghkKeBo266TOyJif5Yd2IEAAgj4mwCL5PrbO8J8CrtAmdLl8uQSHCZNsFWrFlK+XPrxnUFOGX33KJu5d/PAYdLOZNw9NWG8zbZbaLLwMrY1a9bJ0aNHM27O9ddFihSR+vXrSe3aNW2GnmYcnsq6zDmZkGZT1q5VU1LNh7a2bdsuJ/vwVpCxql69uujcNm/eckJZ0pyckz4IIIAAAggggAACCCCAAAIIIICAvwlwj9ff3hHPfBxt25qg4X6Chv759jArBBDITIA/KJmpsA2B0xfIq6BhdjOqUqWyzJo51ZYjLV++nMwwGXTPZChjmt3x7EMAAQQQQAABBBBAAAEEEEAAAQQQKLwC3OP1z/fOSXFS/3xjmBUCCCCAAAJns8Aes46fZhlGR0ebkpvvEzA8m99srg0BBBBAAAEEEEAAAQQQQAABBBBAoFAIuByFYppMEgEEEEAAAQTONgENHPboed3ZdllcDwIIIIAAAggggAACCCCAAAIIIIAAAoVSwClEDQvlG8ekEUAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEMgtAaeb+qS5Zck4CCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCBRKAaeDTMNC+cYxaQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQRyS4BMw9ySZBwEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEECqkAmYaF9I1j2ggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgjkloBTWNMwtywZBwEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAIFCKeAslLNm0ggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgggkGsCBA1zjZKBEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEECicAk439UkL5zvHrBFAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBDIJQGnw+HIpaEYBgEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEECqMA5UkL47vGnBFAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBDIRQGn252LozEUAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggUOgEnxUkL3XvGhBFAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBDIVQEXiYa56slgCCCAAAIInLUCF1zQ6qy9Ni4MAQQQQAABBBBAAAEEEEAAAQQQQODMBP76a+mZDcDRBS7gItOwwN8DJoAAAggggEChEOAffoXibWKSCCCAAAIIIIAAAggggAACCCCAAAIInJaA0y3kGp6WHAchgAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgggcJYIOB0Ocg3PkveSy0AAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEDgtARcp3VUDg666KIO0rVLZ3G73bJt23b5eeGvsnnzlhwcefpd+vXrI6PvvkM6dLxMEhISTn8gjkQAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAggAScGtTLi3bVVVfINdf0lKZNm8jw4YPl668+lacmjM/VU3Xv3k2WLf3DN+bmTVtkxYpVkpSU5NvGEwQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQyF4gqFr12uNiY2Oz73Uae7uYLMNKFStKl67dZeq0GRIWFiZ9+94oq1atke3bd8jVV/eQ2Ng4OXr0qDidTulz43WyY8cuSUxMFD02zuzr2esqadK4kaxZs040QNj7ml6yY+cuOXLkqJQvX04GDRog9erVNWNEixZZ3b17j8TFx8vatevsjENDQ+W6a6+WzpddInv27LXn0h06rzYXtrbBxWFDB4ku67hr927dRUMAgUIgEJ8QVwhmyRQRKDwCYWHhhWeyzBQBBBBAAAEEEEAAAQQQQAABBBBAoNALcI/XP99CR9t2ndwREftzfXaTJ0+Qjh3aixnfjh0cHCzL/1kkf/yxSIYNv01WrvhLXn31TXnjzalSvHgxWbL4V+nXf7AsW7Zc/v7rN0lJSZGQkFBZsOAnadWqhZQsWUIOHjwkVatWkWeenSI7tu+UZ5+dKBoY1O0ff/yZRMdEy5h77pImTc+XUqVKyry5X0nRokVtIFL73T36Ppk3b4EMHjzA9ktNTZWYmFgpXbqUTJ06XZ57/qVcd2BABBDIfYHIqIO5PygjIhDAAmVKlwvgq+fSEUAAAQQQQAABBBBAAAEEEEAAAQTyW4B7vPktnrPzmfKkOet4pr20ZKhmAmrQL6et1fltZcy9D8rQYSOlRcu2JmvxKvn772Vyda8esuDHn+XDDz82AcEk6XjRZfLSy6+lG/aRsQ9JeHi4tO9wqbRs1U7Wr98gTz7xmK+PZjf27z9E2rW/xGYmdu58iW8fTxBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBAIJAGnrc2ZT1esGX1akjQn7Ztv55psw1TbNTQ0RKZNfd2uX3j++S2lSpWTBx6bNWsim8wah4cPH7FjfP75HJPRWNxmJuoGzTJcsXKV3bd+/UYpU6a0fc43BBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBAJNwAQNdTXAvG916tSypUK96w3qGXWdwyzb8RTIYsWKyuwPZ9lyo1269pDPPvsyy0PS7og3axvqsd5WtmxZcZsxk5OTvJt8j6luT3DSt4EnCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCASQgAka5m0LCQk2axu2k5kzpsqxY8dk8jPP2xMePHhQLr64o838mzjxiSwnUbFiRXG5XPLMMy9IUlKitGlzga/vjh07JDi4SLrgoHfnzz//ajISK0vPHt1FA5bXX99b9u7d58te9PbjEQEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAIFAF3DlVZ6hZvWVKlVSlv+z2ATqUux6hoMGj5Do6Bhr/sGHH8ndd90h/yz7UzZs2GjLhWrJ0Ixt8+YtsnnLVpk+/U3bRwN/3vb1N9/JffeNliWLf5UVK1bJ3Hnzvbvk+SkviZYonTTpSbvtyJEj0n/AEN/+jE+OJzZm3MxrBBBAAAEEEMgg0DQ4WAYVLyodwkKljFkjmIYAAggggAACCCCAAAIIIIAAAgggEFgCkSae81t8gsyIjpWVSSdWeAwsjbPnah1t23VyR0TsL5ArCg0NNesMFpMDBw6e9PxVq1ax/ZIy+eFr2LCBbN26VRITT/zBDA8Pl5IlS9gsw5OehA4IIFAoBCKjTv47o1BcCJNEwE8EypQul+OZXFcsXCayDnCOveiIAAIIIIAAAggggAACCCCAAAIInO0CD0VGyScxcad0mdzjPSWufOvsuLDtxe79+w/k2wk5EQIIIHCmAvxBOVNBjkcgvUBOg4aaYfhZpfLpD+YVAggggAACCCCAAAIIIIAAAggggEDAC/Ted+CUMg65x+ufPzJOhyOvCpT65wUzKwQQQAABBBA4PQEtSUpDAAEEEEAAAQQQQAABBBBAAAEEEEAgowD3jTKKFM7XTnEXzokzawQQQAABBBDIXwFdw5CGAAIIIIAAAggggAACCCCAAAIIIIBARgHuG2UUKZyvncQMC+cbx6wRQAABBBDIb4EyTmd+n5LzIYAAAggggAACCCCAAAIIIIAAAggUAgHuGxWCNykHU3RSnDQHSnRBAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBA4CwWcApRw7P47eXSEEAAAQQQQAABBBBAAAEEEDhDgcaNRGpUP8NBONyfBJwfvCvO2e+LVK+W+bTq1RVHm9aZ72MrAggggAACCCCAwFkr4HJTn/SsfXO5MAQQQAABBBBAAAEEEEAAAQTOVMD5+GMisbHinjpd3L/8eqbD5e/xxYt7zhcTI5KbN0Dyatz80qlQXkRLz7tcJ54xJEScLz4vEhYm7jtHi6xafWIftiCAAAIIIIAAAgiclQJOB5mGZ+Uby0UhgAACCCCAAAIIIIAAAgggkCsC5sZB6uj7xNHvJnFc1ztXhsyXQYoUEeeXn9ovqVgh906ZV+Pm3gzPbKTERHGvXSeyf7/I3n1nNhZHI4AAAggggAACCBQqAWduftCuUF05k0UAAQQQQAABBBBAAAEEEEAAgZwJHDpkAof3ipiSlY5Rt4nk9ieQy5QRKVnyxLnoeSpVFDHZb9m24sVEypbNtssJO3Xsimbs4OATduX5hsqV02f55XQuGY8LDxepYAKi2b0f5cqJFDM+p9Dc9z4gqTcNEDHv+wktu/E0A7OseS9pCCCAAAIIIIAAAoVSwJXdvytz64rcJjKZkBgvSUmJkpKSklvDMg4CCPiRQFBQkPnf2iESGhJm/vcqKcx+9NYwFQQQQAABBBBAAAEEckcgLk7cD40Vx72jxTH+MXFPmChistLOpDk6XyqOEcNEypvAlrb16yX18QkmWBUpjkE3i+OaXp6Aobmv4F68RNwvvSKyL8J2df7wvS2x6f7sC3H06iFi/jeJbNkqqQ88JI727cVx9yjbT7/pGn7aUi/vbsuUOm7u78maDA0Vc6NC3N98K+5XXrd9nK+8KHJOfXH//oe4HxknjiGDxNG/rx3b/c13nqCp7Zlh3OTk41tPfHA8O0kcLVuIe/ZH4uh0sQ2Epo4YKbJtu2Q5l2PHJKvjHKVKiWPkLSK1a3lOFhdv5v+auL+fK9K0iae86O494t5uxm/X1vZxL/xF3E88ZRBSPcd4v4eHmf5TROrWEffyf8V9/0PinPOZiLFJvfV262/LlWY3ngn4OsYad3ONNoC5cpW4ExLEccH54n7qaXH/8KP3bDwigAACCCCAAAII+LGAU/J4TcOk5CQ5fCRSEhLiCRj68Q8CU0PgTAX0AwH637n+967/3dMQQAABBBBAAAEEEEDgLBQwgSz308+IROwTxy3Dz+gCHW0vFMfDD3oChgcOipgvd9Rh++i4faQ4+tzgCRiawJcG9hwXthHnRBNQzJB16Oh+hcimTbaP1KltAo1XmzEOiHvZP//NT4NYS5d5AobDh9ogoJbgdL/5tsieveLo2cMTRDTXl6rBUA14tW8njoEDPPPQ7U9NMgHLfVmO+9/Jsn7muPF6E2k0H7I08xETZHRkN5c0w2Q8TkqXMkG9EBtEdb81VaSISxz33CWiGZveVrWKOBo1ssFO3eS4+CJPUM+7Xx9NoNXx6FgbMNQApvvR8SLmWjPNXMxmPMcYE0hu1dITkFy33gYzNWBIQwABBBBAAAEEEChcAmbV67xrGjiIiTlq1ho3nwg0XzQEEDi7Bbz/ret/9wQOz+73mqtDAAEEEEAAAQQQCGCBypXEcX4rE/haeUYIjhuus8drll9qn36SevNgcY97wpQLLSKOq6707HvscUkdPFxSb+wnYrLppGYNEzxsne687uemSOrIUeL+/EvP9tq1xf3nIpsV6e2YOnGSuO8zAUrTbPaiPvnqG5vp5/71N30lmvVo285d4n7Vk3WoQUNxucQ9bboJvm3JelwNtOWgaSZfat+bJfWue0RM5t5J53J8zHTHbd8h7vkLJNVkfcrRaDFlnTxrD5p5Ohqc898szH2Y1Ftvk9RhJiNx4ybPdhNUTdsct90qjtYX2DKkqQ/+n5ibOGl3p3+e1XilTJZhh3a2r/v/HpHU20ZJ6sChIpGR6Y/nFQIIIIAAAggggIDfC7jyaoYaPIiNNf94pSGAQEAK6H//RUqWMR9QNZ+ipSGAAAIIIIAAAggggMDZIWDKdjofG2uCam+I+48/z+yaqlfzHP+7GUc/aOwtdVqznifTzQTiNPhnW1SUuFet8gS4qh0/7vjZ3Vu2eZ7t2m0fHabcZpYfWzYBTw0CanM8+rB99H2rUtn31L34L3FoudEiRezcfPPw9TjNJ0v++q88aA7nYs+U9jjzv7Ec940RR7eunknEm2CqzlObCeD5An8xsSL7D9jN7t27xVHfuIaF2dfeb44qVTz7Nah4vK933wmPWY2n60JqM++f+6+/Pc/1/Vq9RhwdO3he8x0BBBBAAAEEEECgUAi4TA5gnkxU1zCkIYBAYAvo74Gw0PDARuDqEUAAAQQQQAABBBA4SwQ0I81x1x2SquviaQnKM207d3nKabZvK2LWKzSLpHuChybAZYOImjlnSpjaTEBdw69JE88Zd5nj0jb38TX6NPCYVfMGy/bu85TfNGO7zdqJ7h07PCU6zfjug6ZEqjanU5xmfT4biDt6VKRECXH+34OSeocp/5kxo9A7rufIk39PNFmB3paTuXj7pj3u3IaegKEJzKWOGm3Kq5qMxYceEEeXznbu3kPE66IbsqBxv/KqKRFr1iI0pV+l99Wi60Nm2bIaz5R3tc2UjXVceom4f/xJxAQjHec1z3IodiCAAAIIIIAAAgj4p4Azr7KAkpLMJ8yy+we7f3owKwQQyCUB/e9ffw/QEEAAAQQQQAABBBBAoPALOK7sJo5bR0jqvQ/kTsDQkLg/+sTCOLpfKc4P3xPnrOniGPeIKbeZLO6vv/XsG/+oON95W5wffSBiMghlx05xLzIBxpw0DfDFmmw705xm3T7HhMftc28ZU8eIYeLo2kWcd98pDhMkdJQ0WXqmOW7uL9KsqYgJIqYOv9WU/jRBMZNh6Rg62O63gcOM45og5Ck3zaQ8XlI1q7lkOqa3mosJWDrMPB033WjWK+yYadeTbXSbEqnuqe/Ybvr+6nWecouO9gQKzYHq6PzgXXHOmCpSvPgpD8UBCCCAAAIIIIAAAgUrkGdrGqaYRcppCCAQ2AL8Hgjs95+rRwABBBBAAAEEEDhLBPZFiJj1/uw6fJodl0vNrjs44WmRAybDr0J5kfLlxFG6lH3UNQXd//vYU7K0Vk2bDehetFjsunveMqYnm4f5IKNdi1DX/NO1EE3Wolk/QdxvTxP3eyYIqWvx6bqK9eqK25T/dG/YYLPjHAPM+ol67NPP2Lm5n51iz6R9Ha1aevbpGocZxj3ZdDLbn91cMutvt61ZK+5vvhPRzL77TZnSTheLe9k/WXY/2Q6bXbhylS3b6nzElGwNP/VqMe7nXxD3t9971p0076X7t99FvBmhySZ4S0MAAQQQQAABBBAoFAKOC9t2cu/fvz/XJxsZdbysR66PzIAIIFCYBMqULpfr0+X3S66TMmCAC+T0v9ONNaoGuBSXjwACCCCAAAJ5JlC2jIh++PjwkfSn0Ky6ihVEog7/t+Zh+h4nfxUaKlLO/O8SLTWqX96mY1cwYx86dGLZUW+f7B6zGje7Y7Ladzpz0Uw+Lemq8y/ophYabDQlU21ZV/Pa+clsG4hMvfV2kQ0bC3qGnB8BBBBAAAEE8kGg/g5TZj6HjXu8OYTK524u809kGgIIIIAAAggggAACCCCAAAIIIFBwAociMz+3LnuimY5n0hIS/st6SzuOjh1xBmOnGdeuJ3iZWVMws7Z2nbhnzMpsz3/bTmcupiyovzRbXtWsqej+aaEtCevo0N4GDEUzU7du85dpMg8EEEAAAQQQQACBkwi4zD+RaQgggAACCCCAAAIIIIAAAggggAACpyngnr9ARL8CsWmZ1Pr1RIoWFcdVV/4nYDIgUyeZEq/Jyf9t4xkCCCCAAAIIIICAXwuQaejXbw+TQwABBBBAAAEEEEAAAQQQQAABBPxYwKwxmTrqbpEGDcRRo7opUxommmHoXmXWSYyL9+OJMzUEEEAAAQQQQACBjAIm05Bcw4wovEYAAQQQQAABBBBAAAEEEEAAAQQQOAWB9evFbb5oCCCAAAIIIIAAAoVXwOnQxbZpCCCAAAIIIIDASQQiU1NP0oPdCCCAAAIIIIAAAggggAACCCCAAAKBKMB9o7PjXXeeHZeR91dRt04deWHKc1KmTJm8PxlnQAABBBBAwA8FfotP8MNZMSUEEEAAAQQQQAABBBBAAAEEEEAAgYIW4L5RQb8DuXN+l9tdsOVJL72kkzz6yMNyzbU3SFRUVK5cVfNmTWXd+g2SaOrqp21Vq1aVwYNuTrvJPo+JiZEXXnz5hO1pNzRp2lhu6nODfPjhbFm8JDLtLp4jgAACCCAQEAIzomOlZ9HwgLhWLhIBBBBAAAEEEEAAAQQQQAABBBBAIOcCet+IVvgFXCIFW560fv36cu65DaVYsaK5EjQsXbq0zJv7rVx7fR/57bff071DNc2C3COGD023LSQkROLj408aNEx3EC8QQAABBBAIQIGVSUnyUGSUTCxTOgCvnktGAAEEEEAAAQQQQAABBBBAAAEEEMhMQO8X6X0jWuEXMGsa+vdFhIWFSfcrr5AB/fuJ05m+mqq+7tWrh/Tv11c0WKh9u3a5zF6QZhtedFFHCQoK8l3gH38ukhq16vm+rrv+Jrtv7CPjfH3SPtFjr7mml/S96UYJDQlNu8s+r1ixgvTt20cu63ypb1/ZsmXteX0bzJPixYvZbRqg1KYZj7eNvEXatL7AvuYbAgUpcN+994h+ZdZ0e8TendK+XdvMdrMNAQQCUOCTmDjpve+AzImNE2rVB+APAJeMAAIIIIAAAggggAACCCCAAAIIGAG9L6T3h/Q+kd4vop0dAqY8qf9eyIjhw2T8uEfEcTyyOfGpJ2TIsFtk3rz5UrNmDfnjt4U2kJhqfjifmTxRxj3+hDw+7jF7QVryVFvDRs2yzGB8+63XZdXq1fLe+x/Yvmm/1a5dS375eYEEBweLju+dg7fPjOlT5Ypul9t9Grw8fPiwXNCmnXTo0E7eeuM1GXn7KPnssy9sd52LBj1r120g7858R7p27WJLp2oQcf78H6T/zYO9w/KIQIEI3DtmtLRre6EtE+ydgAYMdbu23//407uZRwQQQMB+cmzMIT49xo8CAggggAACCCCAAAIIIIAAAggggAACZ5OASd3z36jhkiVLbNnQKtVqSc3a9SU5OVluHTHM+mtwUIN1NWrVleo168rto+6SN9+cKkOGjrD7tTxpxcrVswwYasCvUqWK8vDDj2b6fn75+ad2/Es6d5XKVWvKnDlfp+v3008LZagJYOq+y7pcIaVKlZI+N94oX375lcTFxdlMQu8B3S6/XNatWy8pKSk2YPi/jz622Y5dL79SnnzqaW83HhEoEIFnnn1enn1uirQz2YSff/qRnUPagGFvs94oDQEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBM5ugQJf0zA73uX/rhD9urBNaxl48wCb7desWTN7yNJly6Rbt64myPGxPPjQWF9WX3bjpd03dMggmx24aPGStJvtc80u1NKjH3/yqaxZs9Zu++a772wpVG/nmbPetaVPe/e+Wq67tre4Tcpmt8u7yFtvT5UvvpgjN5mSpkWLFpWSJUpIhQrlZcoLL0qSqemrAcVrru4lW7ZslVdfe90EQo95h+QRgQIT0MChNs0s1HKk3qYBQ7IMvRo8IoAAAggggAACCCCAAAIIIIAAAggggAACCCBw9gqkXyTQz66zZcsWsm3LBvnk49lStVpVSUhIEJfLs0bhSy+/agJxL0mTJo1lwQ/fy9zvvralRHN6Ca3NeoKrVq3OtHu9enXt9k2bNme6XzeOuuM22bVji0x86kkbzNQsQl1TUdtTT0+y23TdwltvHW5LmL773vt236WXXS6bN2+Rhx68X7Zu3pguEGk78A2BAhLwZhx6T0/A0CvBIwIIIIAAAggggAACCCCAAAIIIIAAAggggAACZ7+A0+HH1zhz+jRbIrR+g8bSs1dvWb9hY7rZPj3pGalV5xxbWvG885rLwIEDbIBOOxVxmSTKLJquJahfmWUZ6iGaXagZgBd17JDpCJqJOPbhh2T9+g3SoGETuanvABvQ9HY+cOCgrF27zpQrvd6se9hNli//15dRuHXrNul0aRe7/mFMTLQ898xk72E8IlDgAt7AIQHDAn8rmAAC+Sqg2fI0BBBAAAEEEEAAAQQQQAABBBBAAAEE8kOAe1H5oXx653CKn0QNL77oIrveX9euXeyjZu2lpKZIbGyshIeHS19T7rNVy5a+q3zrzdfkwQfus9l9GzZ6golOh1MWL/nL9tHyoFpiNCjIk5noO9A8ObdhA/tSA3hZtVWrVkkbUxZ19N13SosW58kT48f5uuqY+kMdGRkppUqWlAlPPi7FihXz7dcnz095UapVqyY1alSXt6ZOs/samvP+MP87ad6sqRw9clSio2NMRmK6w3iBQIELaOCQkqQF/jYwAQTyVUCz5WkIIIAAAggggAACCCCAAAIIIIAAAgjkhwD3ovJD+fTO4SroiG6qO9XO/LlnJ6W7guEjRsqUKS/J0xOflDWrlttMve07tkuVypVtv5RjKXL3XaNsUE83bN6yRWbMnCWJiYmydOky6dWzh/3SLMAff/rZHuP91qCBJ2i4c+d/a7d593kfxz46Tj775H82MKnBydWr19ggpO6Pj4+XOV99bcdfv26VXRvx8OHDvixH7aP7X4x7TooUCZbPP/9SN0mJ4iWkcqVKMm/ut/Z1amqqjL7nXvucbwgggAACCBSUQHJykin/nXWGfkHNi/MigAACCCCAAAIIIIAAAggggAACCJx9AnoviuafAo627Tq5IyL25/rsIqMO5sqYRYq4pH79+rZkaMYBnU6naPbevn0RNusv7X7N8AsNDZUNGUqapu2Tk+eNGp0re/fuk6ioqBO6lylTRooWDZedO3edsE/nvWXTelm0aLFcf2PfdPv1uEqVKmZ6Tek68gKBs0CgTOlyuX4VufX7JdcnxoAIFFIBh0l7L1mitC0JXkgvgWkjgAACCCCAAAIIIIAAAggggAACCBQCAU2mOnI0ylZzLATTDbgpOtq2NUHD/f4bNCyM70i3bl1l9F13iq6z2KHjJbJx06bCeBnMGYFcESBomCuMDIJAngsEm8z4YsVK5Pl5OAECCCCAAAIIIIAAAggggAACCCCAQOAKxMQclSQyDf32B8Dl9tupFc6JlS5dWmZOnyZJSUnyyKPjCRgWzreRWSOAAAIBJ6D/WNN/tIWHFyPjMODefS4YAQQQQAABBBBAAAEEEEAAAQQQyFsBzTCMi4shYJi3zGc8ustxxkMwQFoBLWNasXL1tJt4jgACCCCAQKEQ0MBhsikPERoSZtfkDQoKEi1dSkMAAQQQQAABBBBAAAEEEEAAAQQQQOBUBdxut6SkpIiuYZiQGE9J0lMFLID+LuFeYAGwc0oEEEAAAQT8U0D/MRefEGe//HOGzAoBBBBAAAEEEEAAAQQQQAABBBBAAAEE8kLAae4N0hBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAIIAFnFQdC+B3n0tHAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAwAjkWaahroNEQwCBwBbg90Bgv/9cPQIIIIAAAggggAACCCCAAAIIIIAAAggggEDhEcizTMPg4BBxkMZYeH4SmCkCuSyg//3r7wEaAggggAACCCCAAAIIIIAAAggggAACCCCAAAII+L+AU/JoTcPQkDD/v3pmiAACeSrA74E85WVwBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQRyTcCZayNlGEizjIoWLZ5hKy8RQCBQBPS/f7KNA+Xd5joRQAABBBBAAAEEEEAAAQQQQAABBBBAAAEECrtAngUNFSa4SLAUK1bCBg4IHhT2HxXmj8DJBfS/c/3S/+71v38aAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIFA4Blzuv6pMev34NHBQpWUYSEuMlKSlRUlJSCocMs0QAgVMSCAoKsmsYaklSPiRwSnR0RgABBBBAAAEEEEAAAQQQQAABBBBAAAEEEECgwAVc+XFzX88RFhpuvwr8ipkAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgikE8jT8qTpzsQLBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBDwSwGn2+2X82JSCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCQTwJORz6diNMggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggIB/CjhJNPTPN4ZZIYAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIJBfAmQa5pc050EAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEDATwVMpiG5hn763jAtBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBPJFwOlwsKphvkhzEgQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQT8VMDpp/NiWggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgggkE8CTreb8qT5ZM1pEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEPBLAZNpSHlSv3xnmBQCCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAAC+SRg1jTMpzNxGgQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQ8EsBU57UL+fFpBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAIJ8ETHlSoob5ZM1pEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEPBLAdY09Mu3hUkhgAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgggkH8CJmhIQwABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQACBQBZwOgL56rl2BBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBAQpxA15McAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAgYAWcLrd7oAG4OIRQAABBBAoTAKdLr5IJjw5PtMpBwUFSc2aNTLdx0YEEEAAAQQQQAABBBBAAAEEEEAAAQQQQCA7AafDQaphdkDsQwABBAqjwCWXdJKff5wvgwbdnG76GlSaP/dbmfr2G+m2F9YXdevUkXLlyp7x9Js3ayahISFnPE5+DNC9+5UydMjgTE/1wXszZcmi36V2rVqZ7j8bN+r79tCD98vMGdPkmmt6ZXmJlSpVkrEPP5Tuq2ePq7Lszw4EEEAAAQQQQAABBBBAAAEEEEAAAQQCTcAleZRoeNFFHaRrl87W88jRo7Jkyd+ycOGvp+w7ZPDNctttI6Rd+0slKSnplI/nAAQQQCAQBc6pX0/OPbehjLnnbpkxY5aPoH//vtKsWVOpXr26b1thfjJv7jfy5Zyv5Z4x9532ZZQpU1p0nGuvu1F++/2P0x7HHw58462pEhcfLzt27vSH6eTLHP784xfRgOD+/ful2+VdpVnTpjL+8SdPOHfHDu1l1B23SWJiom/fL7/8JnO++tr3micIIIAAAggggAACCCCAAAIIIIAAAggEsoAzj2KGctVVV8jVV/eQhg0bSK+e3eX1116UDz+YecrW6zdslH//XXnaAcO1a/6RqlWrnPJ5OQABBBA4GwQqlC8vmo3nbYMHps889G6vXLmy3DbyFrmoYwfvJvvodDqlXbu2MvLWEVKqVKl0+1q1bGG36bHDhw2R8uXKpduf8UXZsmVkyOBBotldRYoU8e0OCwuTfn37SPcrrxDNhEzbsjuHzQ4MDbW/43XeOr63nde8mb2ec86pbzdpNlrGPjq29uty2WW2T3PzXPtknIN3TO+jZjbqufUadN7tjY+3ZTyvbs+qf4UKFezxnTtf6j3cPnr7q33XrpfJ1b16pNuf8YUGPXXe+rhy5UqZOvUdSUlJsd2y8/OO06RJYxk16nZ7Hh0nK4Pzz28lt4wYdkIWY0hIsM3wGzhwgJ2Dd1yd/2WXdRbdXrx4ce9m+1ivXj1bRlXnnHZM/VnQ/r17Xy067slanxtvkCpVqshN/W6W5i0ukJ9/Xigjhg/N9D2sUKG8Ha5GrXri/ep/86CTnYL9CCCAAAIIIIAAAggggAACCCCAAAIIBIyAo23bTu4I8+n83G6TJ08Q/VR/23ad7NCaLTjqjpH2dWhIqDRu0ki2bt0qN954vcmCeVf27t0nnS/tJBdc0Ermz/9Rli77xx6nAb8L27SWTz/7wr7Wb507XyKNG50rU6fNkLi4ON/2+iazpmePK+XAwUMye/bHct1118gjYx+UV159Q9at2yALFvzk68sTBBAovAKRUQcL7+TzaeYaiBn32CMSHR0tP/zwo9x2x51StGhR2bxxrURERJiATKg0bNTUzua5ZydL/343SWpqqmig5/c//pTe195gA2NffvGJaCBH92k56zfefFvGjX/CHrd393bZvmOHL4ika+ROmDhJXn751ROu8sknxtvAovbRcfbs2SMtWrWxgao3Xn/VbtODkpKSpXOXy2WD+cCItuzOEbE3fTbdo4+NN38XpssvPy+QevXq+q7nKTOn6SbbcvXK5bJz106TuX6xtDF/V+Z88al8P3eezU6zJzv+7dzGzSQyMirtpnTPn5n8tFx/XW+Jj0+wQbKffvpZ+g0YlOl5X3zpFcmsf4LJdrui2+W+OUZFHZbWF7aXoyYzX/trMCw2NlZKl/YEanW/9/3S/QNMxmilKjVs4HL5sr8kPDzMej78fw/69umks/PT/a+/+rIN0Gn2Xcjx8qz6Xjdp1kIOHYrULratXLFMNACtGf/BwcHywEMP2wxWDWrOnD7N/tzoe6vByuYtzjfzCbce+rPjbffe94C8+94H9uWiP3+VIGeQVKtW1R573/0PyuHDR+StN1+z+/Vn5PDhw2YeLSU5OVmW/rVIihUrKg3O9fzMesf87NOPpMV5zaV23QZ2k/d9HTBwsMyb94O3m318fPxjJmg9UKrV+C+Inq4DLxBAAAEEEEAAAQQQQAABBBBAAAEEEAhwAac48kdg187d9kSakXLFlV1lyvOT5MsvPjaZJZfbm57/mz1LXnllis1OfO+9d2T8uLG2vwYSH3/8Ed8kNVvxpReftQHBJYv/n737gI6q6AI4frMJoXeQ3nvvJRTpUqR3REXAhogCdlSaiCCKiAULHwr2RseCgiIdBelFivQOAakJhP3mTtx1NyQxAZZks/85J9m3r8yb+b1N9ORy7/xqsjCa2GMP3N9XZs/6StqZjIxBAx+WsWNH2SClHtQ/ht/Ro6u7DzYQQACBQBDQwMu3330vLVrcZqf74AP3mQDMZdm56y/39Fub9fH0d+Tk/02RPPkKyfNDh9vMOc0M27ptq0yfMUtKlCpnj603WWx6rmfLa36nt23fScqWr2SDXD3MPwSJ2fQemomoWWD5ChSRGrXqyDNDnrdBTA0YHjt2TOrWbyRduvYwQafLMmfWdK8u4rpHrjwFRANVn3z6uej2u6Y051tvTrQBw27de9rg0OIlS00m2302GPf8sOE261KzA9825x03/8Ck1z19pU/f++39tDyp9hNfwNA1MA2GhZ8Ktzbd77grzvvGdf7PxqLvvQ9Y16a3tbTBwe4edqGhqUzwdpnJiCsmE9940x7XTL+Ybeb0r2zg8vY27W2QLeZxfR+Xnz5jzeibNXuOzbxTP20VK1XzChh2NgFSDRjqPAsUKib33d9PPv/sCxtM1oDhiZMnbTCvUJHi5rk+Z13nzZlpsv1CrK8+771799lgqJYRdbWCBQvIV19/Yw2++nq6vPvOW7Jp02YpVqKMNGpym2TKlEk6dexgT790+ZJcvhydPem6Xl91XJ7Pa/36DfZwbGs6Zs+Wzf7/hgZS9UsDl5rtSUMAAQQQQAABBBBAAAEEEEAAAQQQQACBaAGH+Xurz1qaNKnl7rt7yquvjJHhw581mSWHZMuWrfZ+Wtbt5ZfHS736TUUzBHWNrQf7PSK1wxqa0mofSNeunUzZu8xeY9MAYuXKFaVtuy5ya4Nm5g/Qv0qvu++0WQqPPtrfZiPq/ho168vTTz8nvfs8YK/v0rWn+eNsP6++eIMAAgikdAENGr46foINzmkJzR7du8mvvy72mrYGhDTwtnbtevOPMTqKZrTpe81ki4iItGsFarbbi6NGSB4T8NFAk2eZ0nnzvpOVK1fZIJMGbGJbK1H71ew1LSGpmWgaQNIMv5Ytm9sMw1fMGHfs2CG/Ll4iP8z/0fbvWWo0IfdwTapevTp2LDly5rAlMzdv3mLLlmpwSNd23L59h7w89iWb4db3vuj/RriuTexr+w5dbDBSr4vvvq5+Pc+fOvUj+e77H2zQbsjTT1rzFibz0NX0GWhQUZ/BpHfes7ubm6w+z6aZcxpIHPDoINF5xtXi8itUqKC95I8/1trXVat+s68FCuT36mr172vs+4kTXrWlZXUNQJspaZ6fZqY+PGCgDVjqWKd99InJWAy1wbhly5fb56zPW7NT9fPYts3t7r41C/aRRwfbz4Z+FrSv+T/+ZD8XZU01gdOn/zaf2eh/8FM7rL6Uq1DZfa1rQ4O3EZH/rlF4waznqC1r1qyuU9yv02fOEs0K1eC0BkgLFSwo3387x32cDQQQQAABBBBAAAEEEEAAAQQQQAABBAJdIMT8Dc9nTUud3X9fb/sH3ClTptlsENfN9A/HH338mX3buHEDW35s0aLoP2ZP+WCa3Htvb1uG1HW+vjZu0tD+YfV/kyfZ3RkzZrB/hAwLq2Vf33zjHbv/8uXLJiPBbvINAQQQCGiBffv221KgTz7xmAno5ZcHHnxInn32GbdJ8WLF7O/PMS+Ncu/TsphaylQDhIt+/kny5MltSjxvsxldGnzTQI2WjozZzpw5a3Zd/R8VvcfFixdtcMjzmqpVooNAnmUkl69YaUqWtpUqVaqYsqoLPE+323Hdw3VilsyZ7Xp2Y1960bVLzp49K/lNqeujphT3vG+/k4GPDrBzWWHuda1Ng3ran6vFd189J+b5Ax5+SIY885QNOmrQTv+bmMaszxhbp+0nrAAAQABJREFUc2XSpUr17xp/GoDTErTaWjS/Tb42mXoJaZ5+GzdusjaPDR5on3fve3qZIGWErPkniOjq76/du2025pgxL8r7702SMSdelDZtO0j1alXtKTEDluXKlrX7PX0XmmCdNl0L0tU0aOhqrr50PULPdtm4xNfCw8MlV65/swVz5MhuT9+3b99Vly1YsNCUKV9o9y9ZukwqVChvs2p1DUv1pyGAAAIIIIAAAggggAACCCCAAAIIIBDoAj7NNNQsAc0kbNe+q11XUDNYYmtn/j5j/8gbHOywh7OZEmLadH0jz6bnaXvhhZdkxMjR8vgTQ8wfwAe4/3hdpmxpz9PZRgABBBAwAlq+s3btWvZ3pWu9WBfMRlMOUlutsHq2LKSWhtSvca+MN6Wgx4uuK9uuQ2dbLvKLL79yXZao181bttg17lyZba6Lf/11id3s3Cm6BKW+adakid23fPkK+5qQb67/dui5J06csBlqrnm4XjUQli1bVun/0IOyc+dO97Zeo1mQ2kJMBvy1tvjuG7NPzcR7zgRut23705b11LKfGlRNbPvpp4WiGYttWt8u1apWSezl9nxd01hL1vbpfY9Z73G/NG7aItZ+NNhawawvqGPVzNNx48bIsmXRz+juu3p6XbPOZJxqkLRxo4bu/R3at7Pbmn0YW1u8eKndPXLUaK/PoZaMja/t2LlLcuTIYf8fQs9r1TJ6/DE/53pMMxk9mwZeaQgggAACCCCAAAIIIIAAAggggAACCCDwr4AjOfzNbM7cb+0f80aMeN6WJH1h5FD7R1xX5qFruHqe/pHv1lvrydKly2XL5q32D8SbNm2xmYpPPTnYZsQUK1bUrnV44ED0Oopa0pSGAAIIBKqAlrfUIM7s2XOvIvjoo4/tvlkzvrGBRV1z7tkhT9t9kZGR9jrNKtQymP0furYyz5+a9e+0Tf/6S7m1fj1p2rSJTH7/HVmw8GeJjLxk1qF9xJZG1deGDW8VzY7UbMeENM0irFe3rgkcZbdlTWeZOWpQS/vXzEoNpul6ito+nBK9Zl+z5rfLuvXrbaZfThNwWvVbdFnOO3p0s2U1NfMssS2++8bsy+EItq4nTZaclnod/eJIyZAhQ8zT4n2vz7PnXb3kabOGoGbsTZv6Qbznx3ZQ51msaFGZY8qN1ru1oXTo2MWWiY15rvpN+3CKtdm7Z6/NytNwm2aCXrp0SR7u388GHUuWLCFffvGpzVrUgKh+ZvSzpGtaDhv6rKkAYNarNP8dj639ZDIA9bMw9LkhomtOaqbr448Ncq85+PmnppxrLKVEx782wf7/g65lqVmwTz/1pF1TUTNja9asIZs2rJWWpuyrBqz3/LXdBmv1c6GZnmEmkK5ZlGQZxvZE2IcAAggggAACCCCAAAIIIIAAAgggEIgCDvHRmob6B82ENg36vfnWO9KhfVtZvuwXUzKsnAwc9KT9A6NnH3rexIlvmz8ud5C1f6yQhQu/k65dOtlTNONQS+gtXPCdzJ3zjfmjdGPzh9Szdp2ncS+Plt9WRWe0ePbHNgIIIJBSBVzZczo/DcCVLF3eBphc83X9jl66bLk8M+R5KWjWd5s142tZ98dvdq1YDcKNfmmszYBbvGihzJ09Q3bv2WMvT2yQ5ZdfFsmoF1+S3LlzyVdffiaffPShaMlSHWOr1m1tAO2tN143AZ8nTMDnuNzWopVrmP/5+vEnn9lsSA0OjRwxVIYOG2ECU/NsoOr3Vcvl23mzpVvXLiYY2UBq1aopr7z6mvW4867eNtg0deoUW0L799VrpF3bNrJh3WrzD1Pq/+d9Y54Q131jnqfvdd09XRdQ15nctmWDdOzQIXotyX8yHmO7Jq59ajjgkUE2aKrZi4lp+hyPHjsmvXrdJVs2rZfdu/6UfXt22QChZz/6n/NGjRpYm2VLF5ngXqQ89cyzdl3Ddu072ef30ugXRD8nFStUsM+5Vet2smfvXnlkQH/53+R3zTqHqaVTl+7uNSA9+9dtDT62vL2N7Wv8q+Nk146ttoxsDRN41FajRnWpUL6c3fb89uef2+WNN9+2//+gz07Llve88257SpXKlaxL3bp1bCB6rglY9nvwftHPhVodM3Nv27ajZ3dsI4AAAggggAACCCCAAAIIIIAAAgggENACQWFhDZ1aniw5NC0dVrhwQdm1a7d7OH163y2DBz8i5StUd+/TjRIliste8wfJiIhIr/2FCxcy60wdk/Pnz7v3FyxYwGZixFUe1X0iGwgg4BcCJ8OP+8U4/W2QxYsXt2vcHT582GvoZcuWke3bd9jAjteBa3hTunQpOXz4iLustKsL/T2tv7ePHz/h2pXgVy07WrBAAVm/YaO71Kj+96RC+fKy66+/7O//hHSmY9B1BbU0dpEihWO95OiRozY7LdaDZmdi7ps9ezZbtlUzK5OiaQbeB1Pel67d7hDNekyXLp3o2pf169WVmrXryh6TVejZ1Eez/WPu13M0e0+P7d3rvZagPhvNooy537PfmNuaMZglS2bRgKCraUZmSEhwnJ8PXWdTqwzoOo2eTTMpd+7a5blLNCMy/GS4HDMBahoCCCCAAAIIIIAAAggggAACCCCAAAII/CuQrIKG/w4reqtly+Ym06C/zVBo2Kh5zMO8RwCBABUgaBigD/4mTVvLYurah7G1FStWSo+e0ZlssR33p30vjhoh9/btI81b3C5r1603WXoZZeb0r0SDxAULF78hQWJ/8mCsCCCAAAIIIIAAAggggAACCCCAAAIIBLpAUO2wBk7NzEuO7cMP3pPMmTPJmLGvysqV0WtOJcdxMiYEELi5AgQNb643d0uZArp+5Y/zv5Vbcua06wmGhqaypVMHDnpMZs6akzInzawQQAABBBBAAAEEEEAAAQQQQAABBBBAIE6BoLA6pjypKbdGQwABBPxFgKChvzwpxukPAunTp5fatWvZNYAPHTrkD0NmjAgggAACCCCAAAIIIIAAAggggAACCCDgA4EQH/RJlwgggAACCCDgJwLnzp2TBQsW+sloGSYCCCCAAAIIIIAAAggggAACCCCAAAII+ErA4XT6qmv6RQABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABfxBwBPnDKBkjAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgj4TMBBoqHPbOkYAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAb8QINPQLx4Tg0QAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEDAdwIm05BcQ9/x0jMCCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACyV8gJCjI96saOp1OuRhxQSIjIyQqKir5qzBCBBBItEBwcLCEhqaWNKnTys34vZLoAXIBAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIxCkQEueRG3Qg8lKknDt3xvamwUMaAgikTAH9BwEXL16wX+nTZ5TQVKEpc6LMCgEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQACBFCjg8GUgTwOGZ8/+LXoPX94nBT4XpoSAXwq4ftb1515//mkIIIAAAggggAACCCCAAAIIIIAAAggggAACCCDgHwIOEd+UJ9XggSvD0D8oGCUCCNxIAf355x8L3EhR+kIAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAwHcCDl8taahrGNIQQCCwBfg9ENjPn9kjgAACCCCAAAIIIIAAAggggAACCCCAAAII+I+AKU/qm8FGRkaQZeQbWnpFwC8ENMtQfw/QEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAIPkLmPKkvokaRkVFJf/ZM0IEEPCpAL8HfMpL5wgggAACCCCAAAIIIIAAAggggAACCCCAAAII3DABn61peMNGSEcIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIOBTARM0pCGAAAIIIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAQCALOIICefbMHQEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEExCFEDfkYIIAAAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIBDQAg6n0xnQAEweAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAgUAXcAQFkWoY6B8C5o8AAggggAACCCCAAAIIIIAAAggggAACCCCAAAIIIBDYAg4h0dD9CWjY4FYZ/eIL7vdsJL3Ai6NGyq231o91IAULFpDQ0NBYjyXHnffd20fuu69vchwaY0IAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAIEAF3Akh5hhvXp1Zf4P38rWzetl4U8/yB09uiXJY2ndupX06d0rSe4d302LFS0q2bNnj++UBB2rVLGCpE6dOkHnJpeT9Hl07dLpquFkypRRflu5TGbP/OaqY8l1R98+veWhB+9PrsNjXAgggAACCCCAAAIIIIAAAggggAACCCCAAAIIIBDAAo6kLk5atWoV+frLz6R4saKyYcNGyZQpk7w2/hXp2LF9AD8W76nP/2GePDfkae+diXyXNWtWG5itUaN6Iq9Mnqf//fcZmT59pkx6973kOUBGhQACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgj4kYBDkjhqeG/f3qLrKtat11C6dLtDqtcMk+497rQBIZdjrly3yB13dJemTRq7dtlXzb7T7Lng4GDp0KGdtGvXxm7rwZo1akjnTh1jPV+z7fRYr7vvEg2mxdccDofc3qqlzUDMmTNHfKfaY1ouU8cSs2/tp1nTJnZ/xowZvPrRwGmWzJklb548tnyl5310fmnSpJG8+fLaMp3ZsmVzX1u5UkV5qN8DUrJkCbtP56WlPD3P0b71vNuaNbXnaH96jprFbC7PVKlCrHfdunXcp8S8l/tAjI0SxYtLoUIFresD998nRYoUFp17nbDa0s9k2ek8PVt8c/c8z7VdpUplOx99//7/psjvv6+xh3Q+rjKmOkfNUIxZujR9+vTSpXMna6bn6pdmccbVYnv2auS6j+s6zXrUfa4sTn0eOnfXc3GdF/NV+9fP7J097/jPz2HMa2/k+yceHyz6FVvT/UcO7ZO6dcJiO8w+BBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQSCECQbXDGjqPHj16w6dzMvx4gvocNvQ5G8QZPeZlef31N6665sMPJkvLFs3lypUrNvh06tQpqVGrjmim2Svjxkj3bl3l4sUIcQXi9u7dJ+HmHA0caTt79qyULF1eoqKi7Pk97+ghly9fllSpUtlg5aVLl6RR49tk+44d9rgGcHLnLWivzZcvnyxd/LOkTZtWnE6n7aNNu46yZs0f9njMb7fd1kymmvFqMMh1fsXK1SV9+nTy6y8LbD+uax57/Cn5+JNP7dtDB/bInj17bYBNd+i1o18aKxPfeMsGbFzX6OvQYSNlsgmWLfrlJ9EAnctF/T744EPZvHGd7N23T+rUbSC1ataQ2bOmy/c/zJcWzW/z7EZKl60o4eHhXvvUU4OpFy9etEGshT//InfedU+s94rtWWlnK5YttgHJ/PnzWYcJ5pk+cP+9du46Vg0Qv/Pu+zJ8RPTakfHNXfvT499MnyEPDxhoA4EvjR5lXV4cPcYemz17rjzQr78NSs6Y/pVs3bpNSpcupZfa59yiZRvZsHGjDeD9NP87+9z1mD4jbTrHHnfcZbc9v8X17DXI+OYbE6RP3/tl3rff2UsmvPaq+Rx2kWIlysiSXxdK3rx57b1DQkLsZ6Xl7W3teWqTOnWoVKlWywZWly1ZZMfheoa1wuqJfn5vdtPA4OOPDZJly5ZLh05d3bd37dcdufIUcO9P7Ea2rP8dbE9snwn9/ZLYfjkfAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAIFAFXCYGE6SttcmvG6DV0OeflK2bdkggwY+4g7o6MB+/nmR9L33AcmTr5A0bdZSsmTJYgI0/655qMG/hQt/lvwFi8gvi36VggUL2Gw2DYo9N3S4ZMiQQZo1a+KeowaLpk79yAYGBz32hGhgR7P1Ymvz5s60gcKatetKmXKVRAOWg834YmsaWNSA4YkTJ6WUCVIWLFxcnn7mOfP+hMydPdPep1fvvjbgqYEhDdDlyZ3b3VXevHmkrQlI6n3OnTsn3UwQSpsGazSI+Omnn9vtd997X95+c6INGHbr3tPMu6gsXrxEHjSBOQ2kPvf8MJs9p5mZb781UY4fPy697ulrg1zaX6cu3W0/MQOGekybzuOkCSaWKFXWBtPiulf02bF/12fw1dff2Gf26vgJMmPGLNufPsP1pgStBmY9W1xz9zxHMxJHv/iCLFq0WDRg6GoacPNsmk1YvmIV+1nRZ9uzZw97ePiw523AsFSZ8lKoSAnRYPGSJUtjDRjqBXE9ew1g6rWaIetqLZo3k82bt9jnNnPWHGnQqKnkK1BExr/2uui4Y1uPcuTwYfZzXrBwMSlQqJj0H/BokgQMdQ7jXhkvr7z6mtQx2YQzvvnSTsszYNjRI5DomjOvCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAgggkLIEHCYelaRNA13lKlSRt95+xwZ1nn7qCdlqgodaklTb1GkfyXff/2DXOHzmmSdtAE2DNK6mAbX7H3zIBHIuy6effW53Dx0+wgYiNTio7bam0aU5dVvP12CiNg3EHT16TBo0qG/fe37T0pYa1NtkgkE1qleXJo0b2WzAMFNmU5tm5Lm+ypYtIy1bNrdBoAGPDJRTp09LZGSkfPTxJ7ZEps5lqcni+v77+TYwpFl2mnHXpk1r9y3nzftOVq76TU6ePGkDawULxJ3ZpWVD9bwcOXJIh/btZPOWLbYkqd7nQzPn7dt3yLixL0n+/PltwNV9E48NHbNr/Foi07N16NjFBiB1X3z3atjgVncfniU7z5w5K488OthmQaqDBme1DOyoF0ZI7ly5bFaoZ5nS/5p7xgwZZfrXX5gA6AnpfsednkO9avu5ocPk2LHjNrtQs0yrV69qz9HSr+fPn7fz0jFpcDeXGYu2mPOI79lrkFKfpWttSM321LlN+WCq7WvEyFFy8OBBGfDwQ9K4UUO7L7b1OVevWWM/LzO++UrKlinjVY7XXnSTv3kGDrUcqWYeatOAoc6XhgACCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAilbICSpMw2VV0uHjnzhRfulwQrNctIMN82K0+DLkGeekr/PnLGlHvVczYaLrR0zAUDPpsEhDfKEpArx3O21rZmAxYpdva5duXJl7XlVzRp65UyAzdUuXLhoN18bP861S7748iuJiIi07zWA59lc/axYsdK9W0tiaqtUKbqEqn3j8e2MCaRqUDGuptmWwcEOGTvmRfcpGiDTsphHjhy1ZTMHPjrABk5XrFzlPsdz4757+5qAXwe7SwOps0yGnDbd1j5cLb57aRBQ1y/UtnPnLmnYODqYe+bM367LbYBw0c8/SR4TtNPSoZrhqMHNdOnS2eCq+8R/NmKbe4sW0aVVdc1AXe/Rc3wxr/d8r2VWQ4Kjn70+I802fP+9SaZk7TnJnTuXuzxszHlokFNbXM9eS7NqoFHXumxm1orUcreugPVnn34kjRo2kAMHDsiWLVttPxlM9mPMpqVn1eDBB+6TBT99L2vXrhMtfauf2aRqGjjURsAwqZ4A90UAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAIOkEQiSJMw0LFMhvg0CuYImWSez/0INSwGTaacbXc88+Y4MvroDUzu3eQbnrpStRorjs33/gqm7Wr99gA2iaZaVlQGM2LSnp2Vrf3sqWrLzrzp621KPrmKufxo0bymsTJtrdHdpHr3GXmAwuR3Cwq0s5fuK4pE2TRkqVuTroqFlv/R/qJzt27pTixUzZS2OpWZyuMp6pTMlObYMGP26/3J3GsRHfverd2iiOq/7dPfH110TXB2zTtqOs+u03WwpW17FMTNOgXLsOnWWmWbPw00+mSZOmLRJzuT1XA5ZqoIHAYGOgJq4gWcx5BBtrDZ7G9eyXLV9h18rsfc/dZv3E0vL76jW27w4d2tnswrcnvSuacajPYuvm9XGOdczYcaJfrlKgvXrdJe+//784z78ZB1wmur5hYj6fN2Ns3AMBBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQR8J+DwXdcJ6/nnBT/K5o3r5L77+ppSktVkwmuv2gwsXW/OFbzRUpxazvLFUSPtGoUJ6zn2szSDT9fGK1myhHz1xae2JOqs2dFZdpotqMc1WKkZjdu2/Sm31q8nzw552mbMaZnJpk0ax9rxjz8tsCVSH+7fT/r2ucf2/+Xnn0r69OlsP9WrVbP9aHBxmMl400DY3LnzYu0r5k7NjKtXN8yujacOs814NQNw8vvvmOBqfrtunvppm/phdNDptua3yzoT+NQsTc3O09Kn2nr06GYz/dQ2IS2+eyXk+kuRl2wA7tTpU/b5ahAzsU2fz++/r7ZrGZYvV86saRm93mNi+ul9Ty/RzMNe99wrdes1lJfGjI3z8oQ8ey2ZW7t2bWurAUhtkf9kmx4+fES0HOq0qd4BQH3m+tnS9t67b4uW4tWs2T+3b7f7HEFJ/uNox6GBQwKGloJvCCCAAAIIIIAAAggggAACCCCAAAIIIIAAAggEjECSRyl63nm3Ke15UUaNHC7z5sy0ASEtqfnEU8/IhQsXZPacuXZdvW1bN9pymqdOnXJnzSX0KV254p1O2aN7V1m8aKHUNwHBBQt/NgGkl21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"
    }
   },
   "cell_type": "markdown",
   "id": "8155619a",
   "metadata": {},
   "source": [
    "### Dashboards: \n",
    "Histogram of score vs number of cases with that score\n",
    "\n",
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "attachments": {
    "image-2.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "id": "34c831dd",
   "metadata": {},
   "source": [
    "### Insights:\n",
    "You can filter failure cases and generate common topics among them. This can help identify the core issue and help fix it\n",
    "\n",
    "![image-2.png](attachment:image-2.png)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
